Entries |
Document | Title | Date |
20080219552 | Color identifying apparatus and color identifying method - A color identifying apparatus for identifying the color of a reaction surface which has caused a color reaction with a gas to be specified comprises a histogram storage for storing a plurality of associated sets of identifying information and a reference histogram of R, G, B signal intensities, which are generated from RGB bitmap data images of reaction surfaces which have caused color reactions with gases, and the frequencies of the signal intensities, said identifying information being used for identifying the reaction surfaces, an image capturing unit for capturing an image of the reaction surface and generating RGB bitmap images of the reaction surface, an arithmetic unit for generating a histogram of RGB signal intensities and the frequencies thereof from the RGB bitmap images generated by the image capturing unit, checking the generated histogram against the reference histograms stored in the histogram storage to specify one of the reference histograms which corresponds to the generated histogram, and specifying the identifying information which is related to the specified reference histogram, and an output unit for outputting the specified identifying information. | 09-11-2008 |
20080273795 | FLEXIBLE MATCHING WITH COMBINATIONAL SIMILARITY - Computer-readable media, systems, and methods for flexible matching with combinational similarity are described. In embodiments, an object image is received, a query image is received, and the query image is compared with the object image. In various embodiments matching information is determined based upon combinational similarity and the matching information is presented to a user. In various embodiments, comparing the query image with the object image includes dividing the object image into agents, creating a gradient histogram for the agents, determining map areas for the query image, creating a gradient histogram for the map areas, and creating a similarity array for each of the agents. Further, in various embodiments, determining matching information includes creating a combinational array by combining the similarity arrays for each agent and determining whether the combinational array includes a peak value. | 11-06-2008 |
20080304742 | COMBINING MULTIPLE CUES IN A VISUAL OBJECT DETECTION SYSTEM - Systems and methods for detecting visual objects by employing multiple cues include statistically combining information from multiple sources into a saliency map, wherein the information may include color, texture and/or motion in an image where an object is to be detected or background determined. The statistically combined information is thresholded to make decisions with respect to foreground/background pixels. | 12-11-2008 |
20080317341 | Methods and Systems for Identifying Text Orientation in a Digital Image - Aspects of the present invention relate to systems and methods for determining text orientation in a digital image. | 12-25-2008 |
20090010540 | METHOD AND SYSTEM FOR PERFORMING IMAGE REGISTRATION - A method for performing image registration is provided. The method comprises obtaining a reference image dataset and a target image dataset and defining an image mask for a region of interest in the reference image dataset. The method further comprises registering a corresponding region of interest in the target image dataset with the image mask, using a similarity metric, wherein the similarity metric is computed based on one or more voxels in the region of interest defined by the image mask. | 01-08-2009 |
20090060329 | Image Data Analyzing Device, Image Data Analyzing Method, and Computer Program - An image data analyzing device that reads and analyzes image data includes a number-of-blurred-pixels detecting unit that detects a number of blurred pixels, which is a number of pixels indicating blur width of a contour in an image represented by the image data, a number-of-image-pixels acquiring unit that acquires a number of image pixels, which is a number of pixels related to a size of the image represented by the image data, and an upper-limit-output-size determining unit that determines, on a basis of the number of blurred pixels and the number of image pixels of the image data, an allowable upper limit output size of an image outputted by using the image data. | 03-05-2009 |
20090110275 | SYSTEM AND METHOD FOR ELECTRONIC DOCUMENT CLASSIFICATION - A system and method for electronic document classification are provided. A method in accordance with an embodiment of the present invention includes: converting a candidate electronic document comprising character data to a candidate image; obtaining a representation of a degree of visual similarity of the candidate image to a reference image, the reference image having been obtained by identifying a reference electronic document containing character data representative of a specified classification; and converting the reference electronic document to a reference image. | 04-30-2009 |
20090136130 | Efficient histogram storage - A histogram has ranges, a value for each range, and a time value. A pattern is generated, having a zero value for each range having a zero value, and a one value for each range having a non-zero value. Any non-zero values of the ranges are compressed into a compressed value. The pattern and the time value match or do not match any given entry of a pattern table having a number of entries, each of which has an index value, a time range, and a pattern. Where the pattern and the time value do not match any given entry of the pattern table, a new entry is added to the pattern table, and is considered the given entry. An entry is then added to a histogram table. This entry has the time value, the index value of the given entry of the pattern table, and the compressed value. | 05-28-2009 |
20090169104 | METHODS AND SYSTEMS FOR IDENTIFYING A THIN OBJECT - A method for identifying an object within a container is provided. The method includes acquiring image data representing an image, applying a morphological operator to the acquired image data to generate morphed image data, calculating a histogram based on the morphed image data, and classifying the image using the calculated histogram. A classification of the image may be displayed and/or stored in a computer-readable memory. | 07-02-2009 |
20090214114 | PIXEL CLASSIFICATION IN IMAGE ANALYSIS - A method for classifying image pixels comprises obtaining ( | 08-27-2009 |
20090252413 | IMAGE CLASSIFICATION - Images are classified as photos (e.g., natural photographs) or graphics (e.g., cartoons, synthetically generated images), such that when searched (online) with a filter, an image database returns images corresponding to the filter criteria (e.g., either photos or graphics will be returned). A set of image statistics pertaining to various visual cues (e.g., color, texture, shape) are identified in classifying the images. These image statistics, combined with pre-tagged image metadata defining an image as either a graphic or a photo, may be used to train a boosting decision tree. The trained boosting decision tree may be used to classify additional images as graphics or photos based on image statistics determined for the additional images. | 10-08-2009 |
20090252414 | FLUORESCENT SIGNAL ANALYZING APPARATUS AND FLUORESCENT SIGNAL ANALYZING METHOD - A fluorescent signal analyzing apparatus includes an image input unit, a storage unit, an extracting unit, and an analyzing unit. At least one fluorescent image of a sample is input to the input unit. The storage unit stores data on the at least one fluorescent image input to the image input unit. The extracting unit extracts, for each of the fluorescent images, data on a fluorescence intensity in a desired region on the at least one fluorescent image from the data on the at least one fluorescent image stored in the storage unit. The analyzing unit calculates at least one of a correlation and a photon counting histogram for the desired region by use of the data on the fluorescence intensity. | 10-08-2009 |
20090268964 | PATTERN RECOGNIZING APPARATUS, PATTERN RECOGNIZING METHOD AND PATTERN RECOGNIZING PROGRAM - A pattern recognizing method for matching a binary or ternary reference image and an input grayscale image, having a precision similar to the method in which a plurality of binary reference images are generated by supposing settable various binarization threshold value and comparing the distances between the plurality of binary reference images and the grayscale image, and enabling the processing time to be shorter. The first accumulated histogram of the pixels of the grayscale image corresponding to a high density region of the binary reference image and the second accumulated histogram opposite to it and of the pixels of the grayscale image corresponding to the low density region of the reference image are generated and summated. The existence or absence of a pattern is judged by comparing the minimum value of the summated accumulated histogram and a threshold value. | 10-29-2009 |
20090279778 | METHOD, A SYSTEM AND A COMPUTER PROGRAM FOR DETERMINING A THRESHOLD IN AN IMAGE COMPRISING IMAGE VALUES - The invention relates to a method ( | 11-12-2009 |
20090279779 | Image Selection Based on Image Content - An image capture system comprises an image input and processing unit. The image input obtains image information which is then passed to the processing unit. The processing unit is coupled to the image input for determining image metrics on the image information. The processing unit initiates a capture sequence when the image metrics meet a predetermined condition. The capture sequence may store one or more images, or it may indicate that one or more images have been detected. In one embodiment, the image input is a CMOS or CCD sensor. | 11-12-2009 |
20090316986 | FEATURE SELECTION AND EXTRACTION - Image feature selection and extraction (e.g., for image classifier training) is accomplished in an integrated manner, such that higher-order features are merely developed from first-order features selected for image classification. That is, first-order image features are selected for image classification from an image feature pool, initially populated with pre-extracted first-order image features. The selected first-order classifying features are paired with previously selected first-order classifying features to generate higher-order features. The higher-order features are placed into the image feature pool as they are developed or “on-the-fly” (e.g., for use in image classifier training). | 12-24-2009 |
20090324075 | Image processing apparatus, control method therefor, and program - The horizontal and vertical projection histograms of an image to be processed are calculated. The autocorrelation values of the calculated horizontal and vertical projection histograms are calculated, and horizontal and vertical object sizes until the autocorrelation values decrease to predetermined thresholds are calculated. The aspect ratio estimate value of the circumscribed rectangle of an object serving as a comparison region candidate in the image to be processed is calculated on the basis of the calculation results. The comparison region candidate is corrected on the basis of the aspect ratio estimate value, determining a final comparison region. | 12-31-2009 |
20090324076 | SHAPE RECOGNITION USING PARTIAL SHAPES - Shape recognition is performed based on determining whether one or more ink strokes is not part of a shape or a partial shape. Ink strokes are divided into segments and the segments analyzed employing a relative angular distance histogram. The histogram analysis yields stable, incremental, and discriminating featurization results. Neural networks may also be employed along with the histogram analysis to determine complete shapes from partial shape entries and autocomplete suggestions provided to users for conversion of the shape into a known object. | 12-31-2009 |
20090324077 | Patch-Based Texture Histogram Coding for Fast Image Similarity Search - Techniques for identifying copied images based on an original image are described. The identifying copied image is based on creating unique and identifiable features that in turn are used to generate multiple histograms. The histograms are generated by patches of the image, where the patches are created by equally dividing the image. The combined patch histograms are representative of the image. | 12-31-2009 |
20100040285 | SYSTEM AND METHOD FOR OBJECT CLASS LOCALIZATION AND SEMANTIC CLASS BASED IMAGE SEGMENTATION - An automated image processing system and method are provided for class-based segmentation of a digital image. The method includes extracting a plurality of patches of an input image. For each patch, at least one feature is extracted. The feature may be a high level feature which is derived from the application of a generative model to a representation of low level feature(s) of the patch. For each patch, and for at least one object class from a set of object classes, a relevance score for the patch, based on the at least one feature, is computed. For at least some or all of the pixels of the image, a relevance score for the at least one object class based on the patch scores is computed. An object class is assigned to each of the pixels based on the computed relevance score for the at least one object class, allowing the image to be segmented and the segments labeled, based on object class. | 02-18-2010 |
20100054595 | Automatic Image Straightening - Tilt is reduced or eliminated in captured digital images. Edges in a first image are detected. Angles corresponding to the detected edges are determined. A dominant angle is selected from the determined angles. The first image is rotated according to the selected dominant angle to generate a second image. The second image is a de-tilted version of the first image. | 03-04-2010 |
20100061630 | Specific Emitter Identification Using Histogram of Oriented Gradient Features - In one embodiment, a method for specific emitter identification includes receiving a signal from an emitter indicative of a hardware characteristic of the emitter. A computer-readable representation of the received signal is generated. A plurality of gradients for each partition of a plurality of partitions of the computer-readable representation is computed. Each gradient is indicative of at least the angular orientation of a respective portion of the computer-readable representation. A histogram is computed for each partition by assigning each computed gradient to a bin based at least in part on the magnitude of the computed gradient. One or more Histogram of Oriented Gradient (HOG) features are extracted from a concatenation of the bins of all of the computed histograms. The one or more HOG features are compared to one or more corresponding HOG features stored on a computer-readable medium. Based at least in part on the comparison, a determination is made regarding whether the emitter has a particular identification. | 03-11-2010 |
20100061631 | IMAGE PROCESSING METHOD AND APPARATUS FOR FACE IMAGE - An image processing method for a face image is provided. A skin area of a face is segmented from the face image. A brightness histogram of the skin area is generated. A skin shadow point and an eyeball point of the face are extracted from the skin area, the shadow point having a lowest brightness in the skin area. A modified histogram is generated by modifying the brightness histogram so as to correct a specific area having a lower brightness level than the eyeball point at a brightness level of the eyeball point, and to correct a specific portion in the skin area having a higher brightness level than the shadow point at a brightness level of the shadow point. The face image is thresholded in consideration of the modified histogram to produce a binary image or N-level encoded image. | 03-11-2010 |
20100074523 | Image classification apparatus - An image classification apparatus that classifies images based upon image data includes: a multiresolution representation unit that sequentially generates high-frequency band images assuming a plurality of resolution levels by filtering an original image; an image synthesis unit that synthesizes a single high-frequency band image by sequentially integrating the high-frequency band images starting with a high-frequency band image at the lowest resolution; a histogram generation unit that generates a histogram of synthesized high-frequency band image signal; and an image classification unit that classifies the original image into one of at least two image categories based upon a distribution pattern of the histogram having been generated. | 03-25-2010 |
20100080459 | CONTENT ADAPTIVE HISTOGRAM ENHANCEMENT - This disclosure describes techniques for performing content adaptive histogram enhancement. In accordance with the content adaptive histogram enhancement techniques of this disclosure, a frame of digital image data, e.g., digital video data or digital still image data, is classified into one of a plurality of content classes based on histogram of pixel intensity values of the frame. The content classes may represent various levels of brightness, contrast, or the like. To classify the frame into the corresponding content class, a shape of the histogram may be analyzed using various histogram statistics. Based on the content class of the frame, the pixel intensity values of the frame are mapped to new pixel intensity values. | 04-01-2010 |
20100092084 | REPRESENTING DOCUMENTS WITH RUNLENGTH HISTOGRAMS - An apparatus and method are provided for generating a representation of an image which may be used in tasks such as classification, clustering, or similarity determination. An image, such as a scanned document, in which the pixel colorant values are quantized into a plurality of colorant quantization levels, is partitioned into regions, optionally at a plurality of different scales. For each region, a runlength histogram is computed, which may be a combination of sub-histograms for each of the colorant quantization levels and optionally each of plural directions. The runlength histograms, optionally normalized, can then be combined to generate a representation of the document image. | 04-15-2010 |
20100104184 | Methods and systems for representation and matching of video content - The described methods and systems provide for the representation and matching of video content, including spatio-temporal matching of different video sequences. A particular method of determining temporal correspondence between different sets of video data inputs the sets of video data and represents the video data as ordered sequences of visual nucleotides. Temporally corresponding subsets of video data are determined by aligning the sequences of visual nucleotides. | 04-29-2010 |
20100177963 | SITUATION DETERMINING APPARATUS, SITUATION DETERMINING METHOD, SITUATION DETERMINING PROGRAM, ABNORMALITY DETERMINING APPARATUS, ABNORMALITY DETERMINING METHOD, ABNORMALITY DETERMINING PROGRAM, AND CONGESTION ESTIMATING APPARATUS - The invention provides a situation determining apparatus, a situation determining method, a situation determining program, an abnormality determining apparatus, an abnormality determining method, and an abnormality determining program capable of easily determining the situation of a monitoring place and the degree of congestion. In addition, the invention provides a congestion estimating apparatus capable of easily and accurately estimating the degree of congestion of persons using an image. A situation determining apparatus for analyzing captured moving images or a plurality of captured still images to determine a movement situation and/or a degree of congestion of persons includes: a local image change ratio calculating unit | 07-15-2010 |
20100208993 | SIGNAL PROCESSOR AND STORAGE MEDIUM STORING SIGNAL PROCESSING PROGRAM - A signal processor which performs gradation conversion processing using a histogram of an image signal is provided with a feature calculating unit which calculates a feature of the image signal; an interval setting control unit which sets intervals of a pixel value in the histogram when a histogram of the image signal is obtained, according to the calculated feature, so as to obtain the histogram of the local region of the image signal; a gradation-conversion-characteristic calculating unit which calculates a gradation conversion characteristic, using the histogram obtained by using the intervals set at the interval setting control unit; and a gradation converting unit which performs gradation conversion to the image signal using the gradation conversion characteristic. | 08-19-2010 |
20100215269 | Iterative fisher linear discriminant analysis - An exemplary method includes receiving an image data set that comprises a multidimensional property space and data classifiable into data classes, determining a projection vector for data of the data set wherein the projection vector maximizes a ratio of between-class scatter to within-class scatter, selecting a reference for the vector, projecting at least some of the data onto the vector, measuring distances from the reference to at least some of the data, classifying at least some of the data into data classes based on a nesting analysis of the distances, eliminating the classified data from the image data set to produce a modified image data set and deciding whether to determine another projection vector for the modified image data set. Various other exemplary methods, devices, systems, etc, are also disclosed. | 08-26-2010 |
20100220927 | METHOD OF AND APPARATUS FOR CLASSIFYING IMAGE USING HISTOGRAM ANALYSIS, AND METHOD OF AND APPARATUS FOR RECOGNIZING TEXT IMAGE USING THE HISTOGRAM ANALYSIS - Methods and apparatuses of classifying an image as either a text image or a non text image are provided. The method includes converting an input image into an image histogram comprising gray levels and a frequency of the gray levels; analyzing the image histogram to determine a characteristic of the image histogram; and classifying the input image as a text image or a non text image based on the characteristic. The characteristic of the image histogram may include the frequency of the gray levels, a number of peaks, a distance between peaks, and a peak width. The image may be split into blocks and a number of edge pixels determined for each block. The blocks with at least a predetermined number of edge pixels may then be classified. The entire image may then be classified based on the number of blocks determined to be a text image. | 09-02-2010 |
20100226574 | REGION EXTRACTION APPARATUS AND REGION EXTRACTION METHOD - A region extraction apparatus, comprising:
| 09-09-2010 |
20100239163 | IMAGE SEARCHING METHOD AND APPARATUS - An image searching method includes: resizing an input image in question; generating 3D image identifiers for the resized input image in question; and performing an image search for the input image in question by using the 3D image identifiers. Said resizing an input image includes: extracting a black-and-white image and a color image from the input image in question; resizing the black-and-white image; and resizing the color image. Said generating 3D image identifiers includes: extracting an MGST feature of the input image in question; extracting an angular partition feature of the input image in question; and extracting a color feature of the input image in question. Further, said performing an image search includes: calculating similarity between representative colors of the input image in question and a reference image; and if the similarity is above a predetermined level, matching the 3D image identifiers for the two images. | 09-23-2010 |
20100246954 | APPARATUS, METHOD, AND MEDIUM OF GENERATING VISUAL ATTENTION MAP - A method, apparatus, and medium of generating a visual attention map. A visual attention map to extract visual attention may be generated to convert a two-dimensional (2D) image into a three-dimensional (3D) image based on visual attention. The 2D image may be downscaled and at least one downscaled image may be generated. A feature map may be extracted from the 2D image and the at least one downscaled image, and the visual attention map may be generated. | 09-30-2010 |
20100272356 | DEVICE AND METHOD FOR ESTIMATING WHETHER AN IMAGE IS BLURRED - A method for estimating whether an image ( | 10-28-2010 |
20100316293 | SYSTEM AND METHOD FOR SIGNATURE EXTRACTION USING MUTUAL INTERDEPENDENCE ANALYSIS - A method for determining a signature vector of a high dimensional dataset includes initializing a mutual interdependence vector w | 12-16-2010 |
20100329556 | IMAGE CONVERSION METHOD AND APPARATUS, AND PATTERN IDENTIFICATION METHOD AND APPARATUS - In an image conversion method, a value which reflects the mutual relationship between the classes of pixel patterns each formed from a pixel classified as one of a plurality of classes and peripheral pixels is set as a converted value corresponding to each of the plurality of classes, a pixel of interest is sequentially selected from the input image, and a pixel pattern formed from the selected pixel of interest and a predetermined number of pixels around it is classified as one of the plurality of classes in accordance with a neighboring pattern obtained based on the relationship between the value of the pixel of interest and the values of peripheral pixels located at predetermined relative positions with respect to the pixel of interest. The value of the pixel of interest is converted into a converted value set for a class to which the pixel of interest has been classified. | 12-30-2010 |
20110026825 | System for Creating a Capsule Representation of an Instructional Video - A method is provided that creates a lecture video capsule containing highlights of an original instructional video based on visual quality and content. The method includes segmenting and recognizing activities in the instructional video using a hidden Markov model (HMM). The activities are classified into three categories: talking head, writing hand and slideshow. The talking head frames are classified as non-content frames, while the writing hand and slideshows are classified as content frames. A non-reference based objective quality assessment of the non-content frames may be performed to detect high quality frames. Statistical parameters of an intensity histogram and a horizontal projection profile (HPP) of the content frames may be used to derive an objective quality measure of the content frames that is used to extract high quality content frames. The selected high quality non-content and content frames form a video clip or capsule, which is a temporally compressed representation of the video. | 02-03-2011 |
20110064308 | Method and system for learning a same-material constraint in an image - In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention, the method comprises the steps of providing an image file depicting an image, in a computer memory, assembling a feature vector for the image file, the feature vector containing information regarding a likelihood that a selected pair of regions of the image file are of a same intrinsic characteristic, providing a classifier derived from a computer learning technique, computing a classification score for the selected pair of regions of the image file, as a function of the feature vector and the classifier and classifying the regions as being of the same intrinsic characteristic, as a function of the classification score. | 03-17-2011 |
20110069883 | IMAGE PROCESSING APPARATUS, DISPLAY DEVICE, AND IMAGE PROCESSING METHOD - According to one embodiment, an image processing apparatus includes a storage module, a calculator, a converter, and a filter. The storage module stores a filter coefficient corresponding to a first feature value indicating an image structure of a first pixel block of a predetermined size comprising a plurality of pixels. The calculator calculates a second feature value indicating an image structure of a second pixel block comprising a target pixel to be processed and pixels surrounding the target pixel in an input image. The second pixel block is larger than the first pixel block. The converter converts the second feature value to the first feature value indicating the image structure corresponding to the first pixel block with the target pixel at the center. The filter performs filtering on the first pixel block with the target pixel at the center using the filter coefficient. | 03-24-2011 |
20110081081 | METHOD FOR RECOGNIZING OBJECTS IN IMAGES - A method for recognizing objects in images is disclosed. The method of the present invention comprises the following steps. First, acquire a digital image. Then, select one or more objects from the image according to a certain characteristic. Next, generate an x-axis histogram and/or a y-axis histogram from the segmented image. Then, find the zeroes and maxima for the x-axis histogram and/or the y-axis histogram and use the polynomial regression analysis to determine the shape, shape and location of each of the objects in the segmented image according to the zeroes and maxima. If the two curves linking two zeroes and one maximum in the x-axis histogram and the y-axis histogram are two sloped line, the corresponding object may be determined to be a triangle. If each of the four curves linking two zeroes and two maxima is a line, the corresponding object may be determined to be a rectangle. | 04-07-2011 |
20110081082 | VIDEO CONCEPT CLASSIFICATION USING AUDIO-VISUAL ATOMS - A method for determining a classification for a video segment, comprising the steps of: breaking the video segment into a plurality of short-term video slices, each including a plurality of video frames and an audio signal; analyzing the video frames for each short-term video slice to form a plurality of region tracks; analyzing each region track to form a visual feature vector and a motion feature vector; analyzing the audio signal for each short-term video slice to determine an audio feature vector; forming a plurality of short-term audio-visual atoms for each short-term video slice by combining the visual feature vector and the motion feature vector for a particular region track with the corresponding audio feature vector; and using a classifier to determine a classification for the video segment responsive to the short-term audio-visual atoms. | 04-07-2011 |
20110085731 | DIGITAL IMAGE PROCESSING APPARATUS FOR RECOGNIZING FIREWORKS, METHOD OF OPERATING THE SAME, AND COMPUTER-READABLE STORAGE MEDIUM - A digital image processing apparatus recognizes an image of a firework and performs image quality processing on the image. The digital image processing apparatus for recognizing a firework may include a digital signal processor (DSP) that recognizes a firework in a scene recognition mode based on data regarding luminance and size of flames of the firework of a live view image including at least two consecutively input frames, and that performs image quality processing on the live view image. | 04-14-2011 |
20110091105 | BAGS OF VISUAL CONTEXT-DEPENDENT WORDS FOR GENERIC VISUAL CATEGORIZATION - Category context models ( | 04-21-2011 |
20110091106 | Image Processing Method And System - The embodiments of the present invention provide an image processing method, including: establishing an integral histogram; and calculating a histogram of an arbitrary rectangle area in an image by using the integral histogram. The embodiments of the present invention also provide an image processing system, including an integral histogram establishing unit and a histogram calculating unit. The histogram calculating unit is adapted to calculate a histogram of an arbitrary rectangle area in an image by using an integral histogram established by the integral histogram establishing unit. | 04-21-2011 |
20110142341 | Methods and Systems for Automatic Content-Boundary Detection - Aspects of the present invention are related to systems and methods for automatic content-boundary detection in a digital image. According to one aspect of the present invention a received image may be preconditioned to form a normalized image from which image-content edges may be detected. Projection histograms in the direction of a known skew angle associated with the image and the normal to the skew angle may be formed to determine image-content boundaries. | 06-16-2011 |
20110158528 | Determining Disparity Search Range in Stereo Videos - Embodiments of the invention disclose a system and a method for determining a disparity search range for a current stereo image of a scene based on a set of stereo images of the scene, comprising steps of: selecting a subset of stereo images from the set of stereo images, the subset includes the current stereo image and at least one neighboring stereo image, wherein the neighboring stereo image is temporally-neighboring to the current stereo image; determining a disparity histogram for each stereo image in the subset of stereo images to form a set of disparity histograms; determining a weighted disparity histogram as a weighted sum of the disparity histograms in the set of disparity histograms; and determining the disparity search range from the weighted disparity histogram. | 06-30-2011 |
20110176731 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM THEREFOR - An information processing apparatus includes a generation section, a selection section, a matching processing section, and a calculation section. The generation section generates source image blocks obtained by dividing a connection area of a source image into areas, and template image blocks obtained by dividing a connection area of a template image into areas, the connection area of the template image being superimposed on the connection area of the source image. The selection section selects target image blocks as targets individually subjected to matching processing, based on luminance information of each template image block. The matching processing section calculates relative position information of corresponding image blocks as images corresponding to the target image blocks and the target image blocks. The calculation section calculates relative position shift information of the connection area of the source image and that of the template image based on the relative position information. | 07-21-2011 |
20110200252 | FLEXIBLE MATCHING WITH COMBINATIONAL SIMILARITY - Computer-readable media, systems, and methods for flexible matching with combinational similarity are described. In embodiments, an object image is received, a query image is received, and the query image is compared with the object image. In various embodiments matching information is determined based upon combinational similarity and the matching information is presented to a user. In various embodiments, comparing the query image with the object image includes dividing the object image into agents, creating a gradient histogram for the agents, determining map areas for the query image, creating a gradient histogram for the map areas, and creating a similarity array for each of the agents. Further, in various embodiments, determining matching information includes creating a combinational array by combining the similarity arrays for each agent and determining whether the combinational array includes a peak value. | 08-18-2011 |
20110222768 | TEXT ENHANCEMENT OF A TEXTUAL IMAGE UNDERGOING OPTICAL CHARACTER RECOGNITION - A method for enhancing a textual image for undergoing optical character recognition begins by receiving an image that includes native lines of text. A background line profile is determined which represents an average background intensity along the native lines in the image. Likewise, a foreground line profile is determined which represents an average foreground background intensity along the native lines in the image. The pixels in the image are assigned to either a background or foreground portion of the image based at least in part on the background line profile and the foreground line profile. The intensity of the pixels designated to the background portion of the image is adjusted to a maximum brightness so as to represent a portion of the image that does not include text. | 09-15-2011 |
20110229030 | Image processing apparatus, image processing method, and program - An image processing apparatus is disclosed which includes: an acquisition section configured to acquire image data of an image; a histogram calculation section configured to calculate a histogram of the acquired image data; a histogram storage section configured to store the calculated histogram that is updated sequentially; and a change determination section configured to determine whether a change has occurred in the acquired image based on the degree of similarity between the calculated histogram and the previously stored histogram. | 09-22-2011 |
20110229031 | DETECTING AND LABELING PLACES USING RUNTIME CHANGE-POINT DETECTION AND PLACE LABELING CLASSIFIERS - A system and method are disclosed for detecting and labeling places in a video stream using change-points detection. The system comprises a place label generation module configured to assign place labels probabilistically to places in the video stream based on the measurements of the measurement stream representing the video. For each measurement in the segment, the place label generation module classifies the measurement by computing the probability of the measurement being classified by a learned Gaussian Process classifier. Based on the probabilities generated with respect to all the measurements in the segment, the place label generation module determines the place label for the segment. In cases where a Gaussian Process classifier cannot positively classify a segment, the place label generation module determines whether the segment corresponds to an unknown place based on the perplexity statistics of the classification and a threshold value. | 09-22-2011 |
20110255781 | EFFICIENT DESCRIPTOR EXTRACTION OVER MULTIPLE LEVELS OF AN IMAGE SCALE SPACE - A local feature descriptor for a point in an image is generated over multiple levels of an image scale space. The image is gradually smoothened to obtain a plurality of scale spaces. A point may be identified as the point of interest within a first scale space from the plurality of scale spaces. A plurality of image derivatives is obtained for each of the plurality of scale spaces. A plurality of orientation maps is obtained (from the plurality of image derivatives) for each scale space in the plurality of scale spaces. Each of the plurality of orientation maps is then smoothened (e.g., convolved) to obtain a corresponding plurality of smoothed orientation maps. Therefore, a local feature descriptor for the point may be generated by sparsely sampling a plurality of smoothed orientation maps corresponding to two or more scale spaces from the plurality of scale spaces. | 10-20-2011 |
20120020558 | METHOD FOR ESTIMATING ATTRIBUTE OF OBJECT, APPARATUS THEREOF, AND STORAGE MEDIUM - An information processing method includes detecting a partial area configuring a target object from an input image, evaluating appropriateness of the detection result, voting with respect to the target object based on the detection result and the evaluation result, and identifying an attribute of the target object based on the voting result. | 01-26-2012 |
20120027295 | KEY FRAMES EXTRACTION FOR VIDEO CONTENT ANALYSIS - A method of extracting a key frame from a sequence of frames constituting a shot, each frame being constituted by a matrix of pixels, comprises: for each frame of the sequence of frames: computing ( | 02-02-2012 |
20120039533 | IMAGE PROCESSING APPARATUS AND DISPLAYING METHOD OF THE SAME - Disclosed are an image processing apparatus and a displaying method of the same, the display apparatus including: a display unit which displays an image thereon; a pattern extractor which extracts, from a texture source image, a texture pattern image that is smaller in size than the texture source image; and an image processor which changes a texture of the image to be displayed on the display unit by using the texture pattern image. Accordingly, a texture pattern image is generated from a texture source image. | 02-16-2012 |
20120057786 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, IMAGE PICKUP APPARATUS, AND STORAGE MEDIUM STORING IMAGE PROCESSING PROGRAM - An image processing apparatus determines an importance of subject in an image. The image processing apparatus comprises an image input unit that inputs a series of multiple frames of images captured in temporal sequence, a determination target region extraction unit that extracts determination target regions to be subjected to an importance determination from the images on the multiple frames input into the image input unit, and a determination unit that determines an importance of the determination target regions on the basis of an appearance frequency of the determination target regions in the images on the multiple frames. | 03-08-2012 |
20120057787 | CALCULATION APPARATUS FOR AMOUNT OF CHARACTERISTIC AND DISCRIMINATION APPARATUS - A calculation apparatus for amount of characteristic that calculates an amount of characteristic based on a histogram of an amount of characteristic of input data includes: a buffer for holding a portion of the input data; a memory, having a plurality of banks, for holding calculation results of the histogram; a generation unit for generating a table in which a position of a target data on the buffer of which the amount of characteristic is to be calculated corresponds to a position on the memory to which a category of the calculated amount of characteristic is voted; and a vote unit that determines a category of the amount of characteristic of the target data and that performs a vote to the position on the memory shown on the table. | 03-08-2012 |
20120070084 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND IMAGE PROCESSING PROGRAM - An image processing apparatus calculates luminances for pixels that make up an image and calculates the average luminance of the calculated luminances. From among pixels of the calculated luminances, the image processing apparatus identifies each of the luminances that has a value equal to or greater than a distinguishing value and calculates a bright-portion ratio of the identified luminance in the image. The image processing apparatus creates a luminance histogram and calculates a distribution value indicating a distribution level of the luminance distribution in a region corresponding to a luminance having a value equal to or greater than the distinguishing value in the created luminance histogram. The image processing apparatus determines whether the average luminance is equal to or less than a first threshold, whether the bright-portion ratio is equal to or greater than a second threshold, and whether the distribution value is equal to or greater than a third threshold. | 03-22-2012 |
20120082381 | VIDEO ANALYSIS METHOD AND SYSTEM - According to one embodiment, a method of classifying a feature in a video sequence includes selecting a target region of a frame of the video sequence, where the target region contains the feature; dividing the target region into a plurality cells, calculating histograms of optic flow with the cells comparing the histograms of optic flow for pairs of cells; and assigning the feature to a class based at least in part on the result of the comparison. | 04-05-2012 |
20120087583 | Video Signature Based on Image Hashing and Shot Detection - In accordance with an embodiment, A method of comparing a first group of frames to a second group of frames includes electronically receiving the first group of frames, selecting a group of frames from the first group of frames as a first key frame set, calculating a hash distance between an image hash for each frame in the first key frame set to an image hash of each frame of a second key frame set taken from second group of frames, and choosing frames in the first group of frames with a minimum hash distances to respective reference frames to form a series of minimum hash distances. | 04-12-2012 |
20120087584 | SYSTEM AND METHODS FOR ARABIC TEXT RECOGNITION BASED ON EFFECTIVE ARABIC TEXT FEATURE EXTRACTION - A method for automatically recognizing Arabic text includes digitizing a line of Arabic characters to form a two-dimensional array of pixels each associated with a pixel value, wherein the pixel value is expressed in a binary number, dividing the line of the Arabic characters into a plurality of line images, defining a plurality of cells in one of the plurality of line images, wherein each of the plurality of cells comprises a group of adjacent pixels, serializing pixel values of pixels in each of the plurality of cells in one of the plurality of line images to form a binary cell number, forming a text feature vector according to binary cell numbers obtained from the plurality of cells in one of the plurality of line images, and feeding the text feature vector into a Hidden Markov Model to recognize the line of Arabic to characters. | 04-12-2012 |
20120093407 | OBJECT DETECTION AND CLASSIFICATION METHOD AND APPARATUS - An object detection and classification method and apparatus, the method includes: inputting an image; performing window scan on the image to make, for each class, object existence decision on each window, and making, on a window of which the decision is positive, an object class decision to obtain an object classification confidence of the window; performing, for all classes, spatial neighborhood merging on all windows with positive result of object existence decision to obtain merged regions and object detection confidences thereof; judging, for each merged region, whether the object detection confidence of the merged region is higher than a predetermined threshold; calculating, for each class, if higher than the predetermined threshold, a merged object classification confidence for all the windows with positive result of object existence decision within the merged region; and determining a class with a highest merged object classification confidence as the class of the merged region. | 04-19-2012 |
20120099790 | OBJECT DETECTION DEVICE AND SYSTEM - Provided are an object detection device and system. The object detection device includes an outline image extraction unit, a feature vector calculation unit, and an object judgment unit. The outline image extraction unit extracts an outline image from an input image. The feature vector calculation unit calculates a feature vector from the outline image by using histogram of oriented gradients (HOG) representing a frequency distribution of gradient vectors with respect to pixels of the outline image, and pixel coordinate information varying according to a spatial distribution of the gradient vectors. The object judgment unit judges a target object corresponding to the feature vector with reference to pre-learned data. | 04-26-2012 |
20120114239 | MATCHING AN APPROXIMATELY LOCATED QUERY IMAGE AGAINST A REFERENCE IMAGE SET - Aspects of the invention pertain to matching a selected image/photograph against a database of reference images having location information. The image of interest may include some location information itself, such as latitude/longitude coordinates and orientation. However, the location information provided by a user's device may be inaccurate or incomplete. The image of interest is provided to a front end server, which selects one or more cells to match the image against. Each cell may have multiple images and an index. One or more cell match servers compare the image against specific cells based on information provided by the front end server. An index storage server maintains index data for the cells and provides them to the cell match servers. If a match is found, the front end server identifies the correct location and orientation of the received image, and may correct errors in an estimated location of the user device. | 05-10-2012 |
20120134586 | DEVICE WITH DATASTREAM PIPELINE ARCHITECTURE FOR RECOGNIZING AND LOCATING OBJECTS IN AN IMAGE BY DETECTION WINDOW SCANNING - A device for recognizing and locating objects in an image by scanning detection windows comprises a data stream architecture designed in pipeline form for concurrent hardware tasks and includes means for generating a descriptor for each detection window, a histogram determination unit determining a histogram of orientation gradients for each descriptor, and N processing units in parallel, capable of analyzing the histograms as a function of parameters associated with the descriptors to provide a partial score representing the probability that the descriptor concerned contains at least part of the object to be recognized, the sum of the partial scores of each detection window providing a global score representing the probability that the detection window contains the object to be recognized. | 05-31-2012 |
20120189201 | Efficient histogram storage - A histogram has ranges, a value for each range, and a time value. A pattern is generated, having a zero value for each range having a zero value, and a one value for each range having a non-zero value. Any non-zero values of the ranges are compressed into a compressed value. The pattern and the time value match or do not match any given entry of a pattern table having a number of entries, each of which has an index value, a time range, and a pattern. Where the pattern and the time value do not match any given entry of the pattern table, a new entry is added to the pattern table, and is considered the given entry. An entry is then added to a histogram table. This entry has the time value, the index value of the given entry of the pattern table, and the compressed value. | 07-26-2012 |
20120213438 | METHOD AND APPARATUS FOR IDENTIFYING VIDEO PROGRAM MATERIAL OR CONTENT VIA FILTER BANKS - A system for identification of video content in a video signal is provided by a filter bank which provides a real time or near real time frequency analysis of a video signal to provide the identification. An alternative embodiment for video content identification includes frequency coefficients from one or more video frames along a curve, or from a region of the video frame. Other attributes of the video signal or transport stream may be combined with closed caption data or closed caption text for identification purposes. Example attributes include DVS/SAP information, time code information, histograms, and or rendered video or pictures. | 08-23-2012 |
20120219220 | METHOD AND SYSTEM FOR PREPROCESSING AN IMAGE FOR OPTICAL CHARACTER RECOGNITION - A method and system for preprocessing an image, wherein the image includes a plurality of columns, or regions, of text is disclosed. A plurality of components associated with the text is determined. On determining the plurality of components, a line height and a column spacing is determined for the components. The components are then associated with a column based on the line height and the column spacing. A set of characteristic parameters are calculated for each column and the plurality of components of each column are merged based on the characteristic parameters to form sub-words and words. A first plurality of words and/or subwords is merged and processed as a first region and a second plurality of words and/or subwords is merged and processed as a second region wherein at least a portion of the second region vertically overlaps at least a portion of the first region. | 08-30-2012 |
20120281918 | METHOD FOR DYNAMICALLY SETTING ENVIRONMENTAL BOUNDARY IN IMAGE AND METHOD FOR INSTANTLY DETERMINING HUMAN ACTIVITY - The present invention provides a method for dynamically setting an environmental boundary in an image and a method for instantly determining human activity according to the method for dynamically setting the environmental boundary. The method for instantly determining human activity includes the steps of retrieving at least an initial environmental image with a predetermined angle, and calculating a boundary setting equation of an object and an environmental boundary in the initial environmental image; retrieving a dynamic environmental image having the object by using a movable platform, and figuring out a new environmental boundary; determining a human image in the dynamic environmental image, recording retention time of the human image, and determining a human posture; and determining human location according to the environmental boundary in the dynamic environmental image and the human image, and instantly determining the human activity. | 11-08-2012 |
20130044951 | MOVING OBJECT DETECTION METHOD USING IMAGE CONTRAST ENHANCEMENT - A moving object detection method using image contrast enhancement includes receiving a source image, in which each pixel has a pixel illumination value; processing the source image using an image contrast enhancement procedure; executing a change detection procedure to compare a background model and the source image being processed using the image contrast enhancement procedure, and outputting a detection result accordingly; and executing a background and foreground separation procedure to output a moving object according to the detection result. The image contrast enhancement procedure may include generating a histogram of pixel illumination values; calculating a dynamic distribution range and a cumulative distribution function (CDF) of the source image based on the histogram; executing a mapping table generation procedure to generate a mapping table based on the dynamic distribution range and the CDF; and modifying pixel illumination values based on the mapping table to enhance image contrast of the source image. | 02-21-2013 |
20130044952 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE, NON-TRANSITORY MEDIUM - There are provided an image processing apparatus, image processing method and a computer-readable, non-transitory medium that can binarize the input image so that the characters can be differentiated with high accuracy from the background area. The image processing apparatus includes an edge pixel extractor for extracting edge pixels from an input image, a first histogram generator for generating a first histogram based on a luminance value of each of the edge pixels, a second histogram generator for generating a second histogram based on a minimum luminance value among the luminance values of pixels neighboring each of the edge pixels, a static threshold calculator for obtaining a static threshold based on the first histogram and the second histogram, and a binarization unit for binarizing the input image by using the static threshold. | 02-21-2013 |
20130044953 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE, NON-TRANSITORY MEDIUM - There are provided an image processing apparatus, image processing method, and a computer-readable, non-transitory medium that can determine with high accuracy whether or not an input image contains a background element. The image processing apparatus includes a decimated image generator for generating a decimated image through pixel decimation from an input image, an edge pixel extractor for extracting edge pixels from the decimated image, an edge class extractor for extracting an isolated edge pixel from among the edge pixels, a histogram generator for generating an isolated histogram based on the isolated edge pixel, and a decision unit for making, based on the isolated histogram, a decision as to whether or not the input image contains a background element. | 02-21-2013 |
20130089257 | PROVIDING A FEATURE HIDDEN IMAGE AND DETECTING AND RECOVERING A TAMPERED DIGITAL IMAGE - Described embodiments provide an apparatus for providing a digital image by embedding recovery feature. The apparatus may include an input unit, an extraction unit, an embedding unit, and an output unit. The input unit may be configured to receive a digital image. The extraction unit may be configured to extract recovery feature from the received digital image using quad-tree decomposition. The recovery feature may be binary data that represents unique characteristics of the received digital image. The embedding unit may be configured to embed the extracted recovery feature into the received digital image. The output unit may be configured to output the digital image embedded with the recovery feature as a feature hidden image. | 04-11-2013 |
20130094759 | MOVING OBJECT DETECTION DEVICE - A moving object detection device includes a window setting unit configured to set a window having a predetermined volume in a video, an orientation of spatial intensity gradient calculation unit configured to calculate, for each pixel included in the window, an orientation of spatial intensity gradient, a spatial histogram calculation unit configured to calculate a spatial histogram that is a histogram of the orientation of spatial intensity gradient within the window, an orientation of temporal intensity gradient calculation unit configured to calculate, for each pixel included in the window, an orientation of temporal intensity gradient, a temporal histogram calculation unit configured to calculate a temporal histogram that is a histogram of an orientation of temporal intensity gradient within the window, and a determination unit configured to determine whether or not the moving object is included within the window based on the spatial histogram and the temporal histogram. | 04-18-2013 |
20130114898 | TEMPLATE MATCHING PROCESSING DEVICE AND TEMPLATE MATCHING PROCESSING PROGRAM - The present invention is a template matching processing device capable of evaluating a similarity degree which supports even a case of intensive morphological change between a design image and a photographic image. In the template matching processing device, matching processing between the design image and the photographic image is performed, a partial design image is obtained by clipping a portion having the highest correlation (step | 05-09-2013 |
20130129216 | Text Detection Using Multi-Layer Connected Components With Histograms - A digital image is converted to a multiple level image, and multiple scale sets are formed from connected components of the multiple level image such that different ones of the scale sets define different size spatial bins. For each of the multiple scale sets there is generated a count of connected components extracted from the respective scale set for each spatial bin; and adjacent spatial bins which represent connected components are linked. Then the connected components from the different scale sets are merged and text line detection is performed on the merged connected components. In one embodiment each of the scale sets is a histogram, and prior to linking all bins with less than a predetermined count are filtered out; and each histogram is extended such that counts of adjacent horizontal and vertical bins are added (single region bins are filtered out) and the linking is on the extended histograms. | 05-23-2013 |
20130136357 | METHOD AND CIRCUIT FOR DETECTING DISAPPEARANCE OF LOGO PATTERN - Method for detecting disappearance of a pattern is used to detect whether a fixed-still pattern in dynamic displayed images disappears. Method includes analyzing a pattern characteristic parameter which represents the fixed-still pattern from each of images continuously displayed in a time sequence, It is checked whether the pattern characteristic parameter fast decreases from at least greater than a high level to at least less than a low level, as a first state transition. Sum of absolute difference (SAD) values for all of the pixels between a previous image and a current image is calculated. It is checked whether the sum of the SAD values fast increases from at least less than a low level to at least greater than a high level, as a second state transition. When the first state transition and the second state transition occur simultaneously, it is determined that the fixed-still pattern disappears in the display. | 05-30-2013 |
20130163868 | PARAMETERS INTERPOLATION FOR HIGH DYNAMIC RANGE VIDEO TONE MAPPING - A method for toning mapping high dynamic range (HDR) video for display in low dynamic range display comprises accessing the HDR video; producing a luminance information for the individual frames; partitioning different consecutive groups of frames into segments responsive to the luminance information; classifying the segments into static luminance segments and transient luminance segments; producing a tone mapping parameter set for the static luminance segments; producing a tone mapping parameter set for at least one of the transient luminance segments responsive to the tone mapping parameter set of an adjacent static luminance segment; and tone mapping the static luminance segments and transient luminance segments according to the respective tone mapping parameter sets. | 06-27-2013 |
20130163869 | APPARATUS AND METHOD FOR EXTRACTING EDGE IN IMAGE - Disclosed are an apparatus and a method for extracting an edge to be used for extracting a feature point of an object in an image. The present invention proposes an image edge extracting apparatus and method that remove noise in an input image, calculate a gradient of an image in a noise-removed image, measure magnitude of the gradient, extract an edge having a maximum thickness value, and then calculate a threshold using a ratio of the extracted edge, and detect a final edge robust against noise based on the threshold. | 06-27-2013 |
20130163870 | FEATURE EXTRACTION UNIT, FEATURE EXTRACTION METHOD, FEATURE EXTRACTION PROGRAM, AND IMAGE PROCESSING DEVICE - Provided is a feature extraction device whereby it is possible, while using local binary patterns, to extract image features with which object detection which is robust against disparities in a photographic environment is possible. A feature extraction unit ( | 06-27-2013 |
20130177243 | Autoflow in Photobook Development - A method has steps receiving a plurality of digital images at a network-connected computing appliance, sorting the plurality of images by one or more functions of software executing from a non-transitory physical medium on the computing appliance to determine a subset of images that are related according to data associated with individual ones of the digital images, and dedicating the determined subset of images to a single page of a photo album being prepared by the software. | 07-11-2013 |
20130182954 | Method and Apparatus for Simplifying Electro-optical Imaging Systems - A method, apparatus and program product are provided for simplifying electro-optical imaging data. Spectral/temporal data is received. The spectral/temporal data is formulated into a vector/matrix. Feature extraction analysis is performed. At least two largest principal components are determined from the feature extraction analysis. A cluster diagram is created from the at least two largest principal components. A distance metric is evaluated from the cluster diagram. And, a largest metric is selected based on the distance metric. | 07-18-2013 |
20130202205 | SYSTEM AND METHOD FOR SEMANTICALLY ANNOTATING IMAGES - Techniques for semantically annotating images in a plurality of images, each image in the plurality of images comprising at least one image region. The techniques include identifying at least two similar images including a first image and a second image, identifying corresponding image regions in the first image and the second image, and assigning, using at least one processor, annotations to image regions in one or more images in the plurality of images by using a metric of fit indicative of a degree of match between the assigned annotations and the corresponding image regions. The metric of fit may depend on at least one annotation for each image in a subset of the plurality of images and the identified correspondence between image regions in the first image and the second image. | 08-08-2013 |
20130202206 | EXPOSURE MEASURING METHOD AND APPARATUS BASED ON COMPOSITION FOR AUTOMATIC IMAGE CORRECTION - Provided is a composition-based exposure measuring method and apparatus for measuring an exposure degree of an object included in an image, including: receiving an input of the image; measuring an exposure amount of a pixel located in a region determined based on a composition, among pixels of the received image; and determining the exposure degree of the object based on the measured exposure amount. | 08-08-2013 |
20130223737 | LOCAL FEATURE AMOUNT CALCULATING DEVICE, METHOD OF CALCULATING LOCAL FEATURE AMOUNT, CORRESPONDING POINT SEARCHING APPARATUS, AND METHOD OF SEARCHING CORRESPONDING POINT - A local feature amount calculating device includes a local feature amount calculating unit that acquires a local feature amount of a feature point for each pixel by giving a vote of a strength of the direction of a pixel, which is calculated by a direction strength calculating unit, to a vote cell to which a pixel of interest belongs out of vote cells of a rotated vote cell pattern that is acquired by rotating a reference vote cell pattern by an angle corresponding to a main axis direction along a corrected edge gradient direction that is acquired by correcting an edge gradient direction of the pixel that is calculated by a direction strength calculating unit in accordance with the main axis direction. | 08-29-2013 |
20130223738 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND COMPUTER-READABLE MEDIUM - According to one embodiment, an image processing apparatus includes a detail extraction module, a detail addition control module, and a detail component addition module. The detail extraction module extracts a detail component from an image signal of one frame. The detail addition control module controls an addition quantity of a detail component. The detail component addition module adds a detail component controlled by the detail addition control module to the image signal. | 08-29-2013 |
20130223739 | EXPOSURE CONTROL FOR AN IMAGING SYSTEM - A device that analyzes an image. The device includes a circuit that receives an image that includes a plurality of pixels. The circuit creates a histogram of the image and analyzes the histogram to determine an acceptable exposure of the image. The histogram may include a plurality of bins versus a population of pixels associated with each bin. By way of example, the bins may be associated with an intensity of light. The images and histograms may include data defined by low dynamic range number of bits and/or an extended dynamic range number of bits. Certain features and criteria of the image may be determined and analyzed to determine whether the image has an acceptable exposure. If the image is unacceptable, an exposure characteristic can be changed and the process can be repeated until an acceptable image is obtained. | 08-29-2013 |
20130243320 | Image Completion Including Automatic Cropping - Described is a technology by which an image such as a stitched panorama is automatically cropped based upon predicted quality data with respect to filling missing pixels. The image may be completed, including by completing only those missing pixels that remain after cropping. Predicting quality data may be based on using restricted search spaces corresponding to the missing pixels. The crop is computed based upon the quality data, in which the crop is biased towards including original pixels and excluding predicted low quality pixels. Missing pixels are completed by using restricted search spaces to find replacement values for the missing pixels, and may use histogram matching for texture synthesis. | 09-19-2013 |
20130243321 | IMAGE PROCESSING APPARATUS, CHARACTER RECOGNITION METHOD, AND COMPUTER-READABLE, NON-TRANSITORY MEDIUM - There are provided an image processing apparatus, a character recognition method and a computer-readable, non-transitory medium that can perform character recognition at high speed while retaining character recognition accuracy. The image processing apparatus includes a histogram generator for generating a histogram based on a pixel value of each pixel in an input image, a component judging unit for judging whether the input image contains a character component and whether the input image contains the character component and a non-character component, a binarization unit for producing a binary image based on edge strength of each pixel, when the input image contains both the character component and the non-character component, and for producing a binary image based on a luminance value of each pixel, when the input image contains the character component but does not contain the non-character component, and a character recognition unit for performing character recognition on the binary image. | 09-19-2013 |
20130259371 | Appearance and Context Based Object Classification in Images - Objects in an image are classified by applying an appearance classifier to the image to determine candidates of the objects and statistics associated with the candidates, wherein the appearance classifier uses a set of windows, and the candidates are in selected windows. Then, a context classifier is applied only to the selected windows of the image to determine an identity, and location of objects in the image. | 10-03-2013 |
20130259372 | METHOD AND APPARATUS FOR OBJECT CLASSIFIER GENERATION, AND METHOD AND APPARATUS FOR DETECTING OBJECT IN IMAGE - The present invention provides method and apparatus for object classifier generation, and method and apparatus for detecting object in image. The method for generating a two-cell structure feature descriptor of a two-cell structure composed of a center cell and a neighbor cell in an image region, wherein the neighbor cell is one of eight cells around and adjacent to the center cell, the method comprising: calculating step for calculating statistics of gradients in the center cell and the neighbor cell respectively; and comparing step for comparing the calculated statistics of gradients in the center cell and the neighbor cell, so as to obtain a two-cell structure feature descriptor for describing the feature of the two-cell structure, and | 10-03-2013 |
20130279805 | IMAGE RESAMPLING BY FREQUENCY UNWRAPPING - A method determines at least one image value of a corresponding desired output position of an output image from an input image. An orientation of an edge passing through the output position is determined in a localised region of the input image. A frequency spectrum for the region of the input image is extended. A main frequency band of the edge is aligned in the extended frequency spectrum parallel to a first sampling axis of a grid based on the orientation of the edge. The grid is selected from a set of the input and output grids. The aligned main frequency band is filtered along a second sampling axis of the grid, orthogonal to the first sampling axis, the filter removing frequencies associated with replica bands and maintaining the main frequency band. The image value is determined from the filtered edge at the desired output position. | 10-24-2013 |
20130287300 | DEFINING A LAYOUT OF TEXT LINES OF CJK AND NON-CJK CHARACTERS - A method is described for creating a scheme for dividing a text line of Chinese, Japanese or Korean (CJK) characters into character cells prior to applying classifiers and recognizing individual characters. Gaps between characters are found as a window is moved down the length of a text line. A histogram is built based on distances from the start of the window to a respective gap as the window is moved. The window is moved to the end of each gap after each gap is found and distances measured. This is repeated until the window reaches the end of the text line. A linear division graph (LDG) is constructed according to the detected gaps. Penalties for certain distances are applied. An optimum path is one with a minimal penalty sum and can be used as a scheme for dividing a text line into character cells. | 10-31-2013 |
20130294690 | CLUSTERING OF FORMS FROM LARGE-SCALE SCANNED-DOCUMENT COLLECTION - Techniques for identifying documents sharing common underlying structures in a large collection of documents and processing the documents using the identified structures are disclosed. Images of the document collection are processed to detect occurrences of a predetermined set of image features that are common or similar among forms. The images are then indexed in an image index based on the detected image features. A graph of nodes is built. Nodes in the graph represent images and are connected to nodes representing similar document images by edges. Documents sharing common underlying structures are identified by gathering strongly inter-connected nodes in the graph. The identified documents are processed based at least in part on the resulting clusters. | 11-07-2013 |
20130308860 | Feature Detection in Numeric Data - A method for detecting features in digital numeric data comprises obtaining digital numeric data comprising values corresponding to a plurality of sampling points over a domain space having at least one dimension, computing a plurality of scale-space data comprising filtering said digital numeric data using a filter bank, determining a plurality of feature regions each corresponding to a local extremum in scale and location of the scale-space data; and determining a feature region descriptor for each of said plurality of feature regions. The filter bank is a Cosine Modulated Gaussian filter bank in which the standard deviation parameter of the Gaussian equals | 11-21-2013 |
20130308861 | METHOD AND SYSTEM FOR COMPARING IMAGES - A method for comparing a first image with a second image. The method identifies first keypoints in the first image and second keypoints in the second image and associates each first keypoint with a corresponding second keypoint to form a corresponding keypoint match. For each pair of first keypoints, the method further calculates the distance therebetween for obtaining a corresponding first length. Similarly, for each pair of second keypoints, the method calculates the distance therebetween for obtaining a corresponding second length. The method further calculates a plurality of distance ratios; each distance ratio is based on a length ratio between a selected one between a first length and a second length and a corresponding selected one between a second length and a first length, respectively. | 11-21-2013 |
20130336586 | IMAGE PROCESSING APPARATUS AND METHOD - According to one embodiment, an image processing apparatus includes following units. The extraction unit extracts, from image data including a plurality of pixels, wavelength signal values of the plurality of pixels. The light attenuation amount calculation unit calculates a light attenuation amount based on a ratio of a wavelength signal value of a target pixel to a representative signal value obtained from wavelength signal values of a local region around the target pixel. The pigment amount calculation unit calculates a pigment amount of a predetermined pigment component at the target pixel by resolving the light attenuation amount using an absorbance base of the predetermined pigment component. | 12-19-2013 |
20130343649 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD - In order to solve the problem that the resolution of a back-scattered electron image without a contrast difference between materials with close atomic numbers is low, an image processing apparatus that performs an image process on a back-scattered electron image as an input image includes: a material peak detection unit that determines a peak luminance value with a peak of a frequency of a luminance histogram based on a luminance value obtained for each measurement position by using the input image as an input and information about material-dependent back-scattered electron generation efficiency, and that outputs the peak luminance value for each material; and an image information adjustment unit that emphasizes a material-dependent contrast on the basis of the input image and the peak luminance value for each material. | 12-26-2013 |
20140003716 | METHOD FOR PRESENTING HIGH-INTEREST-LEVEL IMAGES | 01-02-2014 |
20140003717 | SYSTEM AND METHOD FOR FORMS CLASSIFICATION BY LINE-ART ALIGNMENT | 01-02-2014 |
20140003718 | Methods of Content-Driven Image Cropping | 01-02-2014 |
20140023269 | FEATURE DESCRIPTOR FOR ROBUST FACIAL EXPRESSION RECOGNITION - A method and system for generating a feature descriptor for robust facial expression recognition pre-processes a facial image using a Gaussian filter to smooth the facial image. Then, gradient based images at M scales and N orientations are generated from the pre-processed facial image. Further, a portion of an image corresponding to each action unit is selected from each of the gradient based images. Thereafter, appearance of at least one facial event in the selected portion of the image is captured. Also, a geometry of the at least one facial event in the selected portion of image is determined to obtain a feature descriptor for each action unit for robust facial expression recognition. | 01-23-2014 |
20140029851 | APPARATUS AND METHOD FOR CALCULATING CUMULATIVE HISTOGRAM OF IMAGE - An apparatus and method for calculating a cumulative histogram of an image are provided. A cumulative histogram calculation apparatus may include a cumulative value selecting unit to select cumulative data obtained by accumulating input data, based on a number of combinations of the input data, and a loading unit to load the selected cumulative value in a corresponding bin of a histogram. | 01-30-2014 |
20140037209 | SYSTEM AND METHOD FOR REDUCED INCREMENTAL SPECTRAL CLUSTERING - A method of clustering and reducing hyperspectral image data having a plurality of spatial pixels, and a plurality of spectral dimensions associated with each spatial pixel, includes computing an initial basis vector associated with the hyperspectral image data, unmixing the initial basis vector with the hyperspectral image data to generate an initial set of coefficients and an associated set of residual vectors, generating a set of clusters based on the initial set of coefficients, and iteratively computing one or more additional basis vectors and updating the set of clusters. The iterative computing includes calculating a subsequent basis vector based on a residual vector associated with a prior unmixing, unmixing the subsequent basis vector with a prior set of residual vectors to generate additional coefficients associated with each pixel, and iteratively computing cluster centers and content including an additional dimension associated with the subsequent basis vector. | 02-06-2014 |
20140044355 | METHOD AND APPARATUS FOR DETECTING NEAR-DUPLICATE VIDEOS USING PERCEPTUAL VIDEO SIGNATURES - Methods and apparatus for detection and identification of duplicate or near-duplicate videos using a perceptual video signature are disclosed. The disclosed apparatus and methods (i) extract perceptual video features, (ii) identify unique and distinguishing perceptual features to generate a perceptual video signature, (iii) compute a perceptual video similarity measure based on the video edit distance, and (iv) search and detect duplicate and near-duplicate videos. A complete framework to detect unauthorized copying of videos on the Internet using the disclosed perceptual video signature is disclosed. | 02-13-2014 |
20140050400 | APPARATUS, METHOD AND COMPUTER READABLE RECORDING MEDIUM FOR ANALYZING VIDEO USING IMAGE CAPTURED FROM VIDEO - An apparatus for analyzing a video capture screen includes: a video frame extracting unit extracting at least one frame from a video having a plurality of frames; an extracted frame digitizing unit digitizing features of each of the at least one frame extracted by the video frame extracting unit; an image digitizing unit digitizing features of at least one collected search target image; an image comparing and searching unit comparing the search target image with the at least one frame extracted from the plurality of frames by digitized values of the collected search target image and the at least one frame; and a search result processing unit mapping related information of the collected search target image to a frame coinciding with the search target image and storing the related information in a database, when the extracted at least one frame coinciding with the search target image is present in a comparison result. | 02-20-2014 |
20140064617 | IMAGE GENERATION APPARATUS, IMAGE GENERATION METHOD, AND RECORDING MEDIUM - An image generation apparatus includes: an extracting section to extract characteristic information of a hair region in a face image; an image specifying section to specify a hairstyle image on the basis of the characteristic information extracted by the extracting section; and a first generating section to generate a portrait image of a face in the face image by using the hairstyle image specified by the image specifying section. | 03-06-2014 |
20140072217 | TEMPLATE MATCHING WITH HISTOGRAM OF GRADIENT ORIENTATIONS - A system for image processing includes determining edge pixels of a model image using an edge based technique and determining an angular orientation for each the edge pixels of the model image. The system determines a histogram of gradient orientations based upon the angular orientations of the model image. The system determining edge pixels of an input image using an edge based technique and determining an angular orientation for each of the edge pixels of the input image. The system determines a histogram of gradient orientations based upon the angular orientations of the input image. The system compares the histogram of gradient orientations of the model image with the histogram of gradient orientations of the input image to determine candidate locations of an object within the input image. | 03-13-2014 |
20140072218 | APPARATUS AND METHOD FOR PERFORMING DETAIL ENHANCEMENT - An apparatus and method are provided for performing detail enhancement. The apparatus includes an edge detector that detects an edge pixel from contents based on a luminance component of the contents, a histogram analyzer that generates at least one histogram with respect to the edge pixel and determines a gain variable value of the edge pixel based on the at least one histogram, and a gain regulator that determines a gain corresponding to the gain variable value of the edge pixel. | 03-13-2014 |
20140086484 | IMAGE PROCESS WITH SPATIAL PERIODICITY MEASURE - An image manipulation process is controlled by a spatial periodicity measure formed for an image or an image block by measuring the sparseness of the two-dimensional spatial frequency spectrum of the image on a scale of zero to unity in which a two-dimensional spatial frequency spectrum having all equal values has a sparseness of zero and in which a two-dimensional spatial frequency spectrum having only one non-zero value has a sparseness of unity. Sparseness may be measured by allocating values of the spectrum to frequency bins and counting the number of bins that contain non-zero values; comparing values of the spectrum with a threshold and counting the number of values that exceed the threshold; or forming a function of the mean-square value and the mean value of the spectrum values. | 03-27-2014 |
20140119652 | DETECTING RECURRING THEMES IN CONSUMER IMAGE COLLECTIONS - A method of identifying groups of related digital images in a digital image collection, comprising: analyzing each of the digital images to generate associated feature descriptors related to image content or image capture conditions; storing the feature descriptors associated with the digital images in a metadata database; automatically analyzing the metadata database to identify a plurality of frequent itemsets, wherein each of the frequent itemsets is a co-occurring feature descriptor group that occurs in at least a predefined fraction of the digital images; determining a probability of occurrence for each the identified frequent itemsets; determining a quality score for each of the identified frequent itemsets responsive to the determined probability of occurrence; ranking the frequent itemsets based at least on the determined quality scores; and identifying one or more groups of related digital images corresponding to one or more of the top ranked frequent itemsets. | 05-01-2014 |
20140126817 | IMAGE ANALYSIS USING COEFFICIENT DISTRIBUTIONS WITH SELECTIVE BASIS FEATURE REPRESENTATION - Distributional information for a set of α vectors is determined using a sparse basis selection approach to representing an input image or video. In some examples, this distributional information is used for a classification task. | 05-08-2014 |
20140153827 | DETECTING EXPOSURE QUALITY IN IMAGES - Systems, methods and computer readable media for exposure quality detection are described. In some implementations, a method can include computing an overall image exposure score for an image. The method can also include determining one or more face regions in the image. The method can further include computing a face region exposure score for each face region. The method can also include combining the overall image exposure score and each face region exposure score to generate an exposure quality score for the image. | 06-05-2014 |
20140169672 | IMAGE PROCESSING DEVICE AND METHOD FOR DETERMINING A SIMILARITY BETWEEN TWO IMAGES - A computerized method determines a similarity between a first image and a second image. The first image is converted into a first grayscale image, and the second image is converted into a second grayscale image. A first feature vector of the first grayscale image and a second feature vector of the second grayscale image are extracted. A similarity value is calculated indicating the similarity between the first image and the second image according to the first feature vector and the second feature vector. If the similarity value is greater than or equal to the predetermined threshold, the first image is similar to the second image and a determination result is outputted denoting the first image is similar to the second image. | 06-19-2014 |
20140169673 | INCREMENTAL IMAGE CLUSTERING - Methods, systems, and computer readable media with executable instructions, and/or logic are provided for incremental image clustering. An example method for incremental image clustering can include identifying, via a computing device, a number of candidate nodes from among evaluated leaf image cluster (LIC) nodes on an image cluster tree (ICT) based on a similarity between a feature of a new image and an average feature of each of the evaluated LIC nodes. The evaluated nodes include at least one node along each path from a root node to either a leaf node or a node having a similarity exceeding a first threshold. A most-similar node can be determined, via the computing device, from among the number of candidate nodes. The new image can be inserted to a node associated with the determined most-similar node, via the computing device. | 06-19-2014 |
20140193071 | METHOD AND APPARATUS FOR DETECTING AND RECOGNIZING OBJECT USING LOCAL BINARY PATTERNS - A method and apparatus for detecting and recognizing an object using a vector histogram based on a local binary pattern are disclosed. The apparatus of detecting and recognizing an object using a local binary pattern includes: a feature map creator configured to extract an object area in which a moving object exists from an input image, to create a local binary pattern by designating a local area in the object area, and to create a vector component map including information about magnitude vector components and direction vector components using the local binary pattern; a feature map configuring unit configured to divide the object area into a plurality of blocks and to create a feature vector map through a histogram using the vector component map in a unit of the block; and an object detector configured to detect and classify the moving object based on the feature vector map. | 07-10-2014 |
20140247985 | Method, Apparatus Computer-Readable Recording Medium for Processing Digital Image - There is provided a method of processing a digital image including: (a) obtaining a plurality of images; (b) converting the plurality of images into histograms; (c) setting one of the plurality of images as a reference image and another of the plurality of images as a comparison target image; (d) adjusting a distribution of the histogram of the reference image to match a distribution of the histogram of the comparison target image to produce an adjusted reference image; (e) comparing a difference between the adjusted reference image and the comparison target image to produce a masking image; (f) applying the masking image to the comparison target image to produce an adjusted comparison target image; and (g) combining the reference image and the adjusted comparison target image to produce a high dynamic range (HDR) image. Accordingly, even if there is a complex motion on a subject, a clear image without an image overlap or a ghost effect may be obtained when producing the HDR image. | 09-04-2014 |
20140270523 | Multimedia copy source detection - The Embodiments provides a method for detecting leakage stage associated with a multimedia. The method includes storing histograms associated with various stages of the multimedia. Further, the method includes receiving candidate histograms associated with various stages of a candidate multimedia, matching the stored histograms with the candidate histograms, and detecting a leakage stage associated with the multimedia in response to a match. | 09-18-2014 |
20140270524 | SYSTEM AND METHODS FOR GENERATING QUALITY, VERIFIED, AND SYNTHESIZED INFORMATION - The present invention relates generally to an improved system and methods for identifying, assessing, obtaining, evaluating, processing and displaying information about specific topics of interest. In certain embodiments, information is processed with advanced computation and analytical techniques in which detailed statistical data is generated and refined to produce meaningful quantitative and qualitative information that may be useful in analyzing, for example, the economic performance of specific businesses or geographical regions of interest. | 09-18-2014 |
20140294300 | FACE MATCHING FOR MOBILE DEVICES - A method includes receiving an image of a face to match with images of known faces, extracting blocks multiple blocks from the received image, calculating local binary pattern histograms for each block, generating matching scores for each block against block of the images of known faces, determining a top number, N, of matching scores less than the number of blocks, and matching the received image to an image of a known face as a function of the top number of matching scores. | 10-02-2014 |
20140348429 | OCCUPANCY DETECTION - A method for occupancy detection is disclosed. The method may include capturing an image, moving a sliding window over said image, determining features for intensity image and gradient image, generating a strong classifier, detecting shape of object; and determining occupancy. | 11-27-2014 |
20140355879 | Computationally Efficient Scene Classification - The disclosure describes novel technology for inferring scenes from images. In one example, the technology includes a system that can determine partition regions from one or more factors that are independent of the image data, for an image depicting a scene; receive image data including pixels forming the image; classify pixels of the image into one or more pixel types based on one or more pixel-level features; determine, for each partition region, a set of pixel characteristic data describing a portion of the image included in the partition region based on the one or more pixel types of pixels in the partition region; and classify a scene of the image based on the set of pixel characteristic data of each of the partition regions. | 12-04-2014 |
20140355880 | IMAGE RETRIEVAL AND AUTHENTICATION USING ENHANCED EXPECTATION MAXIMIZATION (EEM) - Technologies are generally presented for employing enhanced expectation maximization (EEM) in image retrieval and authentication. Using uniform distribution as initial condition, the EEM may converge iteratively to a global optimality. If a realization of the uniform distribution is used as the initial condition, the process may also be repeatable. In some examples, a positive perturbation scheme may be used to avoid boundary overflow, often occurring with the conventional EM algorithms. To reduce computation time and resource consumption, a histogram of one dimensional Gaussian Mixture Model (GMM) with two components and wavelet decomposition of an image may be employed. | 12-04-2014 |
20150016723 | METHOD AND SYSTEM FOR COMPARING IMAGES - A method comparing first and second images, including: identifying and matching first and second keypoints in the first and second images; arranging a distribution of values of a calculated plurality of first distance ratios in a histogram; determining a number of correct keypoint matches, including: determining a matrix, each matrix element corresponding to a respective pair of keypoint matches with a value corresponding to a difference between a value of the histogram including a distance ratio of the respective pair of keypoint matches and an outlier probability density value weighted by a parameter; determining the parameter value such that the matrix dominant eigenvector is equal to a vector with a first value if the pair of keypoint match is correct and a second value if the pair of keypoint match is incorrect; determining the number of correct keypoint matches based on the dominant eigenvalue associated to the dominant eigenvector. | 01-15-2015 |
20150030248 | ADAPTIVE NOISE FILTER - A method for applying a filter to data to improve data quality and/or reduce file size. In one example, a region of interest of an image is identified. A histogram is generated of pixel intensity values in the region of interest. The histogram is iteratively updated to focus (zoom) in on the highest peak in the histogram. A Gaussian curve is fitted to the updated histogram. A bilateral filter is applied to the images, where parameters of the bilateral filter are based on the parameters of the Gaussian curve. | 01-29-2015 |
20150043819 | FEATURE EXTRACTION METHOD, OBJECT CLASSIFICATION METHOD, OBJECT IDENTIFICATION METHOD, FEATURE EXTRACTION DEVICE, OBJECT CLASSIFICATION DEVICE, OBJECT IDENTIFICATION DEVICE, FEATURE EXTRACTON/OBJECT CLASSIFICATION/OBJECT IDENTIFICATION PROGRAM, AND RECORDING MEDIUM ON WHICH THE PROGRAM IS RECORDED - Provided are: a feature extraction method that is a method of extracting a feature that represents a characteristic of a subject, said feature being extracted from an image that has imaged the subject, said feature being extracted without relation to the shape of said subject; and methods that use the extracted feature to classify and identify the subject. The feature extraction method extracts the feature from the image of the subject, said subject having been imaged by an imaging means. From the image that has imaged the subject, said feature extraction method extracts the feature by means of containing: a step in which a filter bank is created from the image; a step in which a maximum brightness image is created from the filter bank; a step in which a circular image region of the maximum brightness image is set, and the center (Cc) and the radius (Rc) of the circular image region are set; a step in which a pixel of the maximum brightness image is projected into a three-dimensional space having as the axes thereof, (a) the ratio of the radius (Rc) and the distance (L | 02-12-2015 |
20150049942 | PERFORMING VOCABULARY-BASED VISUAL SEARCH USING MULTI-RESOLUTION FEATURE DESCRIPTORS - In general, techniques are described for performing a vocabulary-based visual search using multi-resolution feature descriptors. A device may comprise one or more processors configured to perform the techniques. The processors may generate a hierarchically arranged data structure to be used when classifying objects included within a query image based on multi-resolution query feature descriptor extracted from the query image at a first scale space resolution and a second scale space resolution. The hierarchically arranged data structure may represent a first query feature descriptor of the multi-resolution feature descriptor extracted at the first scale space resolution and a second corresponding query feature descriptor of the multi-resolution feature descriptor extracted at the second scale space resolution hierarchically arranged according to the first scale space resolution and the second scale space resolution. The processors may then perform a visual search based on the generated data structure. | 02-19-2015 |
20150049943 | PERFORMING VOCABULARY-BASED VISUAL SEARCH USING MULTI-RESOLUTION FEATURE DESCRIPTORS - In general, techniques are described for performing a vocabulary-based visual search using multi-resolution feature descriptors. A device may comprise one or more processors configured to perform the techniques. The one or more processors may to apply a partitioning algorithm to a first subset of target feature descriptors to determine a first classifying data structure to be used when performing a visual search with respect to a query feature descriptor. The one or more processors may then apply the partitioning algorithm to a second subset of the target feature descriptors to determine a second classifying data structure to be used when performing the visual search with respect to the same query feature descriptor. | 02-19-2015 |
20150071539 | Invariant Relationship Characterization for Visual Objects - Machines, systems and methods for object relationship characterization are provided. The method comprises providing a plurality of images, each having a plurality of pixels; selecting a pair of images from the plurality of images, the pair of images comprises a first image and a second image; characterizing at least one pixel of the first image and the second image by a first feature vector and a second feature vector respectively; characterizing the first image by a first probability distribution over the first feature vector; characterizing the second image by a second probability distribution over the second feature vector; assigning a list of histogram bins for the first image and the second image; computing a distribution flow descriptor (DFlow) for capturing relationship between the first probability distribution and the second probability distribution. | 03-12-2015 |
20150093028 | PERFORMING A HISTOGRAM USING AN ARRAY OF ADDRESSABLE REGISTERS - Parallel processing of an image using an array of addressable registers. Image features are extracted from the image. The image features are storable as data. According to respective values of a sorting key derived from a parameter of the data, the image features are sorted into N buckets. Using an array of M addressable registers, where M is less than N, the data are summed within the buckets to perform a histogram of the image features, according to values of a histogram key derived from said a parameter of the data. | 04-02-2015 |
20150139545 | METHOD AND SYSTEM TO DETECT OBJECTS IN MULTIMEDIA USING NON-TEXTURAL INFORMATION WITHIN SEGMENTED REGION - A method and a system for detecting and monitoring of at least one object in a multimedia content are provided. The method includes extracting at least one contour from the multimedia content using non-textural information in a segmented region within the multimedia content, computing a histogram for the extracted at least one contour in the segmented region of the selected multimedia content to represent an object shape based on the computed histogram, and determining an orientation change of the represented object shape within the segmented region of the multimedia content. | 05-21-2015 |
20150302269 | MATERIAL CLASSIFICATION USING SPECULAR GLOSS - Gloss-based material classification of an object fabricated from an unknown material, particularly where the unknown material is one from a limited set of predetermined materials. The object is illuminated with an area light source such that the object is illuminated from multiple angles. An image of the object is obtained, and specular reflections from the object are measured by analyzing the image. The object material is classified based on a number of high-intensity specular reflections. | 10-22-2015 |
20150313530 | MENTAL STATE EVENT DEFINITION GENERATION - Analysis of mental states is provided based on videos of a plurality of people experiencing various situations such as media presentations. Videos of the plurality of people are captured and analyzed using classifiers. Facial expressions of the people in the captured video are clustered based on set criteria. A unique signature for the situation to which the people are being exposed is then determined based on the expression clustering. In certain scenarios, the clustering is augmented by self-report data from the people. In embodiments, the expression clustering is based on a combination of multiple facial expressions. | 11-05-2015 |
20150363663 | DESCRIBING OBJECTS USING EDGE-PIXEL-FEATURE DESCRIPTORS - During a description technique ( | 12-17-2015 |
20160014421 | ENCODING BLOCKS IN VIDEO FRAMES CONTAINING TEXT USING HISTOGRAMS OF GRADIENTS | 01-14-2016 |
20160035073 | Method and Device for Processing Digital Image, and Computer-Readable Recording Medium - There is provided a method of processing a digital image including: (a) obtaining a plurality of images; (b) converting the plurality of images into histograms; (c) setting one of the plurality of images as a reference image and another of the plurality of images as a comparison target image; (d) adjusting a distribution of the histogram of the reference image to match a distribution of the histogram of the comparison target image to produce an adjusted reference image; (e) comparing a difference between the adjusted reference image and the comparison target image to produce a masking image; (f) applying the masking image to the comparison target image to produce an adjusted comparison target image; and (g) combining the reference image and the adjusted comparison target image to produce a high dynamic range (HDR) image. Accordingly, even if there is a complex motion on a subject, a clear image without an image overlap or a ghost effect may be obtained when producing the HDR image. | 02-04-2016 |
20160042249 | EVENT-BASED IMAGE CLASSIFICATION AND SCORING - Embodiments of the present invention analyze and score each image associated with a group to determine representative image or images for the group. Such analysis can include detecting objects shown in the images, determining the quality of the images, and/or contextually analyzing the images as a group. In some embodiments, each image in a group (e.g., an event) of images can be analyzed by one or more image analysis modules that calculate a score for the image based on a different image characteristic. A composite image score can then be calculated based on the various image characteristic scores to identify the image or images to be used as to represent the group. | 02-11-2016 |
20160098838 | REGISTRATION OF SAR IMAGES BY MUTUAL INFORMATION - A method for registering an image using a similarity criterion based on mutual information. The image to be registered is compared with a plurality of reference representations of an object, each reference representation being of a plurality of homogeneous zones. The mutual information between the image to be registered and each reference representation is calculated, on the set of homogeneous zones. The registration is given by the reference representation corresponding to the highest mutual information. The method can be advantageously applied to an aircraft aided navigation by registering images obtained by a synthetic aperture radar. | 04-07-2016 |
20160132747 | HISTOGRAM METHODS AND SYSTEMS FOR OBJECT RECOGNITION - A multidimensional histogram is used to characterize an image (or object), and is used to identify candidate matches with one or more reference images (or objects). An exemplary implementation employs hue information for two of the dimensions, and a second derivative function based on luminance for a third dimension. The simplicity and speed of the detailed arrangements make them well suited for use with cell phones and other mobile devices, which can use the technology for image/object recognition, e.g., in visual search applications. | 05-12-2016 |
20160171292 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM FOR RECOGNIZING FACIAL EXPRESSION AND PERMITTING USE OF EQUIPMENT BASED ON THE RECOGNIZED FACIAL EMOTION EXPRESSION | 06-16-2016 |
20160203384 | HARDWARE ACCELERATOR FOR HISTOGRAM OF GRADIENTS | 07-14-2016 |
20170236036 | SYSTEM FOR PREDICTING OCCURRENCE OF DEFECTIVE IMAGE AND PROGRAM FOR PREDICTING OCCURRENCE OF DEFECTIVE IMAGE | 08-17-2017 |