Abstract: In one embodiment, a system may access first, second, and third probability models that are respectively associated with predetermined first and second body parts and a predetermined segment connecting the first and second body parts. Each model includes probability values associated with regions in an image, with each value representing the probability of the associated region containing the associated body part or segment. The system may select a first and second region based on the first probability model and a third region based on the second probability model. Based on the third probability model, the system may compute a first probability score for regions connecting the first and third regions and a second probability score for regions connecting the second and third regions. Based on the first and second probability scores, the system may select the first region to indicate where the predetermined first body part appears in the image.

Abstract: Features of various implementations are used to enable determining what a particular consumer is watching on television in order to deliver matched functionality, content and/or services, as a part of an interactive television suite of technologies. In some implementations, the process of determining what a particular consumer is watching is enabled so that communication between the primary set-top box and a supplemental set-top box and/or television integrated device is reduced, thereby avoiding the need for one or more provider specific APIs. For example, one aspect of the disclosure is a computer-implemented method of identifying a media program by capturing display data from the media program, and extracting text from the display data in response to determining that the display data includes the text overlay, wherein the extracted text is associated with the media program.

Abstract: Methods and apparatuses are provide for displaying a representative color of an image. One or more images are displayed on a display. A scroll operation corresponding to a user input is identified for displaying a plurality of images subsequently following the one or more images. During the scroll operation, at least one of the one or more images and a plurality of objects are displayed together on the display. Each of the plurality of objects is displayed in place of a respective one of the plurality of images and each of the plurality of objects is displayed as a solid-color object corresponding to one representative color of the respective one of the plurality of images. After the solid-color objects are displayed during the scroll operation, the at least one of the one or more images and the plurality of images are displayed together on the display. The plurality of images being displayed in place of the solid-color objects.

Abstract: An image processing apparatus (104) includes a first obtainer (104a) that obtains a plurality of input images (111) obtained by photographing an object a plurality of times while at least one of a light source position and a viewpoint is changed, and a second obtainer (104b) that obtains a plurality of diffuse images (115) based on the same pixel areas of object images in the plurality of input images (111).

Abstract: A profile adjustment method for causing a computer to execute a process of adjusting a to-be-adjusted profile by using a color conversion module performing a color conversion process of converting coordinate values in a color space with reference to a profile, the profile adjustment method including: setting a color conversion module included in one or more of the color conversion module, as a target module that is a color conversion module to be used; causing the target module to execute the color conversion process of converting input coordinate values in an input color space into output coordinate values in an output color space; and executing a process of using a conversion result by the target module to adjust the to-be-adjusted profile.

Abstract: An image capture apparatus 1 is provided with a skin score calculation processing unit 53. The skin score calculation processing unit 53 segments a face region of a person included in an image into a plurality of segmented regions having a uniform size in a predetermined proportion to a size of the face region. Further, the skin score calculation processing unit 53 measures luminance values of a predetermined number of pixels, respectively. Further, the skin score calculation processing unit 53 determines a condition of at least any one of pores and freckles in the face region, based on a distribution condition of the luminance values measured in the segmented region, for each of the segmented regions segmented.

Abstract: A method for assisting operation of a vehicle traveling on a roadway includes acquiring visual images around the vehicle with at least one visual camera having a field of view and acquiring thermal images around the vehicle with at least one thermal camera having the field of view. The thermal images are superimposed over the visual images to produce composite images. An object is detected in the composite images. A vehicle assist system adjusts at least one of a direction of travel and speed of the vehicle in response to detecting the object.

Abstract: A color estimation device includes an extraction means to extract, from product information associated with a product image showing a product and containing text information about the product to be presented to a user, a plurality of color text information indicating color names as candidate color names for the product, an estimation means to estimate a color of a product shown in the product image based on a pixel value set on the basis of each of the candidate color names and a pixel value of a pixel included in the product image, and an output means to output the color estimated by the estimation means.

Abstract: An optical measurement system: passes a probe light beam through a variable focal length lens to the retina of an eye, and returns light from the retina through the variable focal length lens to a wavefront sensor; adjusts the focal length of the variable focal length lens to provide a desired characteristic to at least one of: the probe light beam, and the light returned by the retina to the wavefront sensor; passes a calibration light through the variable focal length lens to the wavefront sensor while the variable focal length lens is at the adjusted focal length to ascertain the adjusted focal length; and makes a wavefront measurement of the eye from the light returned from the retina of the eye through the variable focal length lens to the wavefront sensor, and from the adjusted focal length ascertained from the calibration light received by the wavefront sensor.

Abstract: Based on conditions or restrictions, Strong Intra Smoothing (SIS) is enabled or disabled. SIS is not allowed for chroma when the chroma format is 444, and SIS is not allowed for chroma when the chroma format is 422 or 444.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying a set of images of child variants of a parent item, identifying a set of colors in the set of images, categorizing the set of colors into color subgroups, identifying a set of representative color(s) for the color subgroups, generating a color value distribution representation for an image of a child variant that indicates a respective number of pixels in the child variant image corresponding to each of one or more representative colors, identifying a color cluster in the color value distribution representation, scoring the color cluster, and selecting a particular color from the color cluster for inclusion in a sample image of the child variant if the color cluster score meets or exceeds a threshold value.

Abstract: According to examples, area coverage vectors for each pixel on each slice of a digital representation of an object may be determined and a two-dimensional halftone matrix including threshold values may be subdivided into a plurality of sub-matrices, each sub-matrix including threshold values of the halftone matrix in a respective value sub-range. In addition, for each of the slices, a sub-matrix of the plurality of sub-matrices may be selected and the area coverage vectors for the pixels in the slice may be halftoned using respective threshold values of the selected sub-matrix.

Abstract: An object is to obtain a visibility-improved video while more favorably maintaining a color rendering property in a video display device. To achieve the object, a video input unit, a video correcting unit that performs video correction on a video input by the video input unit, and a video display unit that displays the video corrected by the video correcting unit are included, and the video correcting unit is configured to perform local luminance correction on the video input by the video input unit, acquire a correction intensity for each part of the local luminance correction, and perform local saturation correction based on the correction intensity.

Abstract: Systems and methods of database optimization and distributed computing are provided herein. In some embodiments, a method includes distributing remote agents to a plurality of remote computing systems, receiving incoming inventory from a database of available inventory via the remote agents, generating the database of available inventory that retains complete inventory records, generating thin locator style records for the complete inventory records, wherein the thin locator style records include key record identifiers, distributing a query to one or more of the remote agents, selecting the thin locator style records in response to the query, obtaining the complete inventory records corresponding to the thin locator style records of the selected key record identifiers, and providing the complete inventory records to a requestor.

Abstract: A digital magazine server separates an advertisement received for presentation to one or more digital magazine server users into a plurality of layers, each including one or more elements of the advertisement. For example, one or more foreground layers and one or more background layers of an advertisement are identified. By modifying elements included in different layers, modified advertisements associated with different display sizes are generated and associated with the display sizes. When presenting the advertisement to a user, the digital magazine server determines a size of a slot in which the advertisement is to be presented and retrieves a modified advertisement associated with the size of the slot for presentation to the user.

Abstract: There are described mobile devices, and methods thereof, for real time analyses of captured images. The device determines whether a light level of a first image meets or exceeds a low light threshold. The device also determines whether a shadow level of the first image meets or exceeds a shadow threshold in response to determining the light level does not meet or exceed the low light threshold. The light source is activated in response to determining the light level meets or exceeds the low light threshold or the shadow level meets or exceeds the shadow threshold. The device further determines whether a glare level of a second image meets or exceeds a glare threshold in response to identifying the second image. If so, then a final image is captured with the light source inactive. Otherwise, the final image is captured with the light source active.

Abstract: Method and device for deblurring an out-of-focus blurred image: first, a preset blur kernel is used to carry out blurring processing on an original image to obtain a re-blurred image. Blur amounts of pixels in an edge area of the original image are estimated according to the change of the image edge information in the blurring processing to obtain a sparse blur amount diagram. Blur amounts of pixels in a non-edge area of the original image are estimated according to the sparse blur amount diagram to obtain a complete blur amount diagram. Deblurring processing is carried out according to the complete blur amount diagram to obtain a deblurred image. In the method and device provided, since a blur amount diagram is obtained based on the change of edge information after image blurring, the blur amount diagram can be more accurate, so that the quality of a deblurred image is improved.

Abstract: Datasets containing a plurality of images are processed. A plurality of regions within the images are determined, where each of the plurality of regions corresponds to a facial region. A feature vector is generated for each of the plurality of pixel regions, and the plurality of pixel regions are clustered into a plurality of clusters based on the generated feature vectors. An initial score is assigned to each respective pixel region in the plurality of pixel regions, and the plurality of pixel regions are sorted based on the assigned scores. A representative index is computed for each respective pixel region by comparing each respective pixel regions with each other pixel region in the respective cluster. The score of each pixel region is modified based on the computed representative indices, and the pixel regions are sorted based on the modified scores. A confidence index is generated for the unified dataset.

Abstract: A method, system, and apparatus are described. The method includes calculating, via a white balancer, a candidate illumination chromaticity estimate for a current frame and calculating, via a scene prior monitor, a scene prior chromaticity for the current frame as a weighted sum of a scene prior chromaticity from a previous frame and a candidate illumination chromaticity estimate. The method also includes calculating, via a scene invariant illumination chromaticity controller, a final illumination chromaticity for the current frame as a weighted sum of a scene illumination chromaticity for the current frame and the candidate illumination chromaticity estimate.

Abstract: An HDR display is a combination of technologies including, for example, a dual modulation architecture incorporating algorithms for artifact reduction, selection of individual components, and a design process for the display and/or pipeline for preserving the visual dynamic range from capture to display of an image or images. In one embodiment, the dual modulation architecture includes a backlight with an array of RGB LEDs and a combination of a heat sink and thermally conductive vias for maintaining a desired operating temperature.

Abstract: Embodiments of the present invention disclose a method, computer program product, and system for cataloging images based on a gridded color histogram analysis. The computer accesses an image gallery specified by a user, wherein the image gallery is at least one of an image gallery stored on a user computing device, an image gallery stored on a user account at a third-party image storage, or an image gallery searched on the web. The computer receives a request to search the image gallery specified by the user. The computer performs a search of the image gallery, wherein the search is using a color based histogram algorithm based on a user input. The computer transmits a cataloged and sorted image gallery to the user computing device to be displayed.

Abstract: A method for automatically producing a digital image includes selecting at least one capture mode for capturing at least two image signals from an image capture device. The image capture device captures at least two image signals of the same scene in a RAW format, each image signal being captured according to the image capture mode. A file in a standardized format comprising each image signal and metadata representative of the capture mode is generated and stored. The created file is digitally processed by selecting at least one processing algorithm to process at least two image signals according to the metadata representative of the capture mode, and by fusing at least two image signals according to each chosen image processing algorithm into a fused digital image signal.

Abstract: A noise of an image signal generated by mixing a plurality of image signals is accurately estimated. In an image processing apparatus including an input unit and an estimation unit, a mixed image signal is input to the input unit, the mixed image signal being obtained by mixing a plurality of image signals with different exposure times that have been generated by an image sensor, on a basis of a predetermined mix ratio. The estimation unit is configured to estimate a mixed image signal noise being a noise of the mixed image signal, on a basis of the mix ratio, a noise characteristic coefficient indicating a noise characteristic of the image sensor, and a ratio between the exposure times in the plurality of image signals.

Abstract: In a colorimetry device and a colorimetry method of the present invention, reference chart definition information including at least reference chart identification information about a reference color chart and patch position definition information indicating a position of each of plurality of patches in the reference color chart is stored, and whether the obtained color chart is matched with the reference color chart is determined based on the reference chart identification information. When the obtained color chart is determined to be matched with the reference color chart, a position of a colorimetry unit with respect to the color chart is relatively moved to the position of each of the plurality of patches in the color chart based on the reference chart definition information, and the colorimetry unit measures the color of each of the plurality of patches.

Abstract: A method for image processing, which comprises the following steps: Generating a first histogram from a first image; Calculating a first parameter profile from the first image indicative of the quality of the first image; Adjusting the first parameter profile to generate a second parameter profile; Using the second parameter profile to generate a statistical distribution via a statistical distribution generator, wherein the statistical distribution is characterized by at least three parameters; Using the statistical distribution to perform a histogram specification to the first histogram of the first image to generate a second histogram; Generating a second image based on the first image and the second histogram.

Abstract: A video decoder is configured to reconstruct a first version of a current picture; determine a transformed sample of the first component, a transformed sample of the second component, and a transformed sample of the third component by applying a first matrix to a triplet comprising the samples of the first, second, and third components; include the transformed samples of the first, second, and third components in a second version of the current picture; determine, based on the transformed samples of the first, second, and third components and a first row of a second matrix, a set of transformed samples for the third component, the set of transformed samples for the third component including samples of the third component that are immediately neighboring the transformed sample of the third component; and include the set of transformed samples for the third component in the second version of the current picture.

Abstract: The present disclosure provides a white balance processing method. The white balance processing method includes the following. Each image of the plurality of successive frame images is processed to determine color temperature corresponding to a main light source. It is determined whether a variation of primary color temperature is greater than or equal to a predetermined threshold. The variation of primary color temperature refers to a difference between the color temperature of the main light source in a second frame image subjected to the color temperature variation and the color temperature of the main light source in a first frame image subjected to the color temperature variation. The white balance process is performed on the second frame image subjected to the color temperature variation according to the color temperature of the main light source in the first frame image subjected to the color temperature variation when the variation of primary color temperature is less than the predetermined threshold.

Abstract: In a video processing system, such as e.g. a set top box or a BD player wherein in a merger video can be merged with one or more overlays a video/overlay pixel indication (A) is encoded in one or more of the least significant bits of one or more of the color components in the video signal. The video signal is transmitted over the interface between VPS and display. The display subject the image to an adaptation. This adaptation is performed dependent on the video/overlay pixel indication (A).

Abstract: In one embodiment, a method comprises accessing a plurality of images stored in a data store, and for a first image of the plurality of images, determining a color distribution of the first image, wherein the color distribution of the first image is based on a frequency of one or more colors depicted in the first image. The method further comprises, based on the color distribution of the first image, assigning the first image to a particular image class, wherein the particular image class further comprises a second image, wherein the assigning of the second image to the particular image class is further based on a color distribution of the second image. The method further comprises based on at least the first image and the particular image class, determining a particular color profile, assigning the particular color profile to the first image and the second image.

Abstract: Provided is an image processing device for improving quality of an image generated using an image obtained when infrared light is radiated and an image obtained when infrared light is not radiated. A modulation coefficient setting unit sets a first modulation coefficient used for correction of infrared luminance information of an infrared image obtained when infrared light is radiated. The first modulation coefficient is set on the basis of a ratio between the infrared luminance information and visible luminance information of a visible image obtained when the infrared light is not radiated. A modulation coefficient correcting unit corrects the first modulation coefficient to a second modulation coefficient on the basis of a parameter indicating brightness of a subject of the visible image or brightness of a photographing environment. A luminance correcting unit corrects the infrared luminance information using the second modulation coefficient.

Abstract: A system is disclosed. The system at least one physical memory device to store ink deposition curve compute logic and one or more processors coupled with the at least one physical memory device, to execute the ink deposition curve compute logic to receive a histogram for each of a plurality of color planes, receive ink measurement data for each of the plurality of color planes, compute ink deposition curve data for each of the plurality of color planes based on the histograms and the ink measurement data and transmit the ink deposition curve data.

Abstract: A method and a display driver for compensating the perceptual bias of edge boost when driving a display panel are provided. The method can pre-process an input image to compensate for a perceptual bias of edge boost, e.g., at a contiguous group of color bands in the input image prior to sending the input image in a form of plural frames to a display panel for display. The method includes the steps of partitioning an input image into one or more grayscale regions, segmenting the grayscale regions into a plurality of color bands, detecting a subtle but perceivably significant change of color or luminance between two adjacent color bands, identifying a transition region and performing color dilution on the transition region. The display driver can include an input buffer, an image processor configured to execute the above method and an output buffer.

Abstract: A display management processor receives an input image with enhanced dynamic range to be displayed on a target display which has a different dynamic range than a reference display. The input image is first transformed into a perceptually-corrected IPT color space. A non-linear mapping function generates a first tone-mapped signal by mapping the intensity of the input signal from the reference dynamic range into the target dynamic range. The intensity (I) component of the first tone-mapped signal is sharpened to preserve details, and the saturation of the color (P and T) components is adjusted to generate a second tone-mapped output image. A color gamut mapping function is applied to the second tone-mapped output image to generate an image suitable for display onto the target display. The display management pipeline may also be adapted to adjust the intensity and color components of the displayed image according to specially defined display modes.

Abstract: Described is a video scene analysis system. The system includes a salience module that receives a video stream having one more pairs of frames (each frame having a background and a foreground) and detects salient regions in the video stream to generate salient motion estimates. The salient regions are regions that move differently than dominant motion in the pairs of video frames. A scene modeling module generates a sparse foreground model based on salient motion estimates from a plurality of consecutive frames. A foreground refinement module then generates a Task-Aware Foreground by refining the sparse foreground model based on task knowledge. The Task-Aware Foreground can then be used for further processing such as object detection, tracking or recognition.

Abstract: The present invention is to provide a method and system using compressed data directly for target tracking and target classification in videos. The present invention uses a video imager to generate compressive measurements, and a random subsampling operator to compress the video data. It uses a Gaussian Mixture Model (GMM) for target detection and manual location of the target and putting a bounding box around the targets in the first frame is not required. It further applies a saliency-based algorithm to re-center the captured target. This re-centering process can be repeated multiple times and each application of re-centering will improve over the previous one. A pixel completion algorithm is used to fill in the missing pixels for the captured target area. A Sparse Representation Classification (SRC) for target classification. Both the target templates in a dictionary and captured targets are transformed to the frequency domain using Fast Fourier Transform (FFT).

Abstract: Disclosed are systems, methods, and computer-readable storage media to perform an interactive image recolorization process. The method includes receiving user input including a single stroke drawn on an image presented on a client device. The method further includes determining a region of interest in the image based on the user input. The method further includes recolorizing the region of interest on the image and causing presentation of a result of the recolorization on the client device.

Abstract: An electronic device may include a display pipeline to be coupled between an image data source and a display panel. The display pipeline may include pixel contrast control processing circuitry programmed to determine pixel statistics indicative of an image frame based at least in part on image data that indicates an initial target luminance of a corresponding display pixel implemented on the display panel. The pixel contrast control circuitry may also apply a set of local tone maps to determine modified image data that indicates a modified target luminance. The display pipeline may also include a pixel contrast control controller coupled to the pixel contrast control processing circuitry. The pixel contrast control controller may be programmed to execute firmware instructions to determine local tone maps to be applied during the next image frame based at least in part on the pixels statistics determined by the pixel contrast control processing circuitry.

Abstract: An image processing device includes a control section configured to determine, based on first luminance information for each display pixel, frame luminance information in a single frame and current information. The current information indicates a magnitude of a current that is expected to be consumed in displaying the single frame on a display section. The control section is configured to control, based on the frame luminance information and the current information, light-emitting luminance of the display section.

Abstract: Techniques related to improved video coding based on skin tone detection are discussed. Such techniques may include selecting from static skin probability histograms and/or a dynamic skin probability histogram based on a received video frame, generating a skin tone region based on the selected skin probability histogram and a face region of the video frame, and encoding the video frame based on the skin tone region to generate a coded bitstream.

Abstract: In a program generation apparatus, a processing unit selects a first program from among a plurality of image processing programs each generated by combining a plurality of partial programs; generates a second program by changing a part of the partial programs included in the first program; performs image processing on an input image, using the second program; determines whether to pass the second program to the next generation, based on a comparison between one or more intermediate output images that are output halfway through the image processing and a first target image; and replaces one of the image processing programs with the second program when the second program is determined to be passed to the next generation.

Abstract: A projector including: a display unit equipped with an image-forming surface made up of a plurality of pixels; a projection lens that is capable of focus adjustment and that projects an image that is formed on the image-forming surface onto a projection surface; a distortion correction processing unit that, on the basis of distortion correction data for correcting distortion of an image projected onto the projection surface, generates a corrected image by enlarging and/or reducing an image indicated by an input video signal and forms the corrected image on the image-forming surface; and a control unit that adjusts the focus of the projection lens on the basis of the distortion correction data such that a focus range on the projection surface is increased.

Abstract: An image processing apparatus includes a first type of sensor, a second type of sensor, and a control circuitry. The control circuitry receives a first foreground mask for an object-of-interest in a previous color image frame and further estimate a second foreground mask for the object-of-interest in a current color image frame at a first image resolution. The control circuitry further upsamples the second foreground mask to a second image resolution and select at least one region-of-interest in the current color image frame. The control circuitry then upscales the upsampled second foreground mask by an expectation parameter generated based on a kernel density-based estimation for the at least one pixel in a selected region-of-interest. The upscaled second foreground mask exhibits a minimum foreground mask error that is caused by upsampling with respect to the estimated second foreground mask.

Abstract: Embodiments described herein disclose a color measurement device and method for use with cameras or other imaging devices. The color measurement device may be configured to determine many different colors via a commonly owned device. Embodiments utilize sinusoidal grayscale rings to determine an exact color match of an unknown color, even if there is perspective distortion of an obtained image.

Abstract: An image processing method is provided for acquiring additional information from image information obtained by shooting a printed product on which the additional information is multiplexed by at least one of a plurality of different multiplexing methods, the method comprising: attempting decoding of the additional information from the image information by a plurality of different decoding methods corresponding to the plurality of different multiplexing methods; and outputting, by a unit, the additional information successfully decoded.

Abstract: Disclosed is a video decoding method including: obtaining a disparity vector having components in sub-pixel unit for interlayer prediction between images belonging to a current layer and a reference layer; determining a position of an integer pixel of the reference layer corresponding to a position indicated by the disparity vector obtained from the position of a current pixel of the current layer; and decoding the image of the current layer by using prediction information on a candidate area of the reference layer corresponding to the determined position of the integer pixel.

Abstract: A high dynamic range video processing method performs merging and tone mapping techniques after a Bayer filter mosaic technique is performed and then converts it to red green blue (RGB) at the end as opposed to converting into RGB at the beginning and then performing merging and tone mapping after. The HDR processing is performed on Bayer-mosaic images and no de-mosaicing and color space conversions are required. The merging procedure has two modes: full-reset merging and LDR-updated merging. The first mode, full-reset merging, creates an HDR frame once the system has all image frames captured. The second mode, LDR-updating merging, means that any new HDR frame is obtained by an updating of a previous HDR frame with a new LDR frame data.

Abstract: An automated network-based test system for set top box devices is disclosed. According to certain embodiments, the network-based testing system using Simple Network Management Protocol facilitates remote testing of thousands of set-top boxes, where groups of these set top boxes can be located in various locations that are remote from a main controller server that is running the tests remotely.

Abstract: Access to a set of media content items is acquirable. Identified processors can perform, in parallel, object detection for the set. In some cases, information about a current system state, a user, and/or object popularity metrics is acquirable for selecting a subset of object models. Object recognition is performable, based on the subset, for the set of media content items. In some instances, a camera view can be provided. Object recognition is performable for representations of the view. An object depicted in the representations is identifiable. An interface portion is presentable to provide a label for the object. In some cases, object recognition is performable for the set of media content items to identify an object depicted in a content item. A label is associable with the content item. A search through the set of media content items can identify, based on the label, a subset that depicts the object.

Abstract: A computer-implemented method of calibrating a camera includes: a. making a video screen display a calibration pattern; b. acquiring from the camera a video stream of a scene comprising said calibration pattern; c. determining a modified calibration pattern depending on the acquired video stream, and making the screen display it; said steps a. to c. being iterated a plurality of times; and then d. estimating intrinsic calibration parameters of the camera by processing the acquired video streams. A computer program product, computer-readable data-storage medium and computer system for carrying out such a method.

Abstract: An image processing method for processing an image includes determining, selecting, and replacing. It is determined whether a portion, including a plurality of pixels and darker than a threshold in the image, is subject to a color replacement. One predetermined color from among a plurality of predetermined colors is selected, based on a color of at least a part of the plurality of pixels. Based on the determination, a color of the portion is replaced with the selected one predetermined color.