Abstract: A system and method of measuring audience reaction to media content includes obtaining images or other information of each individual of the audience as the individual views the content and analyzing the images or other information with software to generate emotional response source data for each individual. The emotional response source data identifies the emotion or emotions or change of emotions of the individual as interpreted by the software. The emotional response source data of the individuals is aggregated to identify a set of primary emotions of the audience, and thereafter, the emotional response source data is re-evaluated in view of the primary emotions to refine and more accurately classify the emotional responses of each individual of the audience.

Abstract: Methods for post-processing of non-key frames of an image are described. According to the methods, reconstructed non-key frames are updated with information of neighboring key frames. Methods to evaluate whether to update or not update the non-key frames are also described.

Abstract: Methods for post-processing of non-key frames of an image are described. According to the methods, reconstructed non-key frames are updated with information of neighboring key frames. Methods to evaluate whether to update or not update the non-key frames are also described.

Abstract: A system and method of measuring audience reaction to media content includes obtaining images or other information of each individual of the audience as the individual views the content and analyzing the images or other information with software to generate emotional response source data for each individual. The emotional response source data identifies the emotion or emotions or change of emotions of the individual as interpreted by the software. The emotional response source data of the individuals is aggregated to identify a set of primary emotions of the audience, and thereafter, the emotional response source data is re-evaluated in view of the primary emotions to refine and more accurately classify the emotional responses of each individual of the audience.

Abstract: A method is provided for identifying and verifying a person using hand biometrics with an anti-spoofing measure. The method comprises acquiring (51) a first image (10) of a hand in a first configuration, acquiring (52) a second image (30, 40) of the hand in one of the first and a second configuration for comparison with the first image (10), determining (52) whether a person can be identified from at least one of the first image (10) and the second image (30, 40), and determining (55) from a comparison of the second image (30, 40) with the first image (10) whether the hand is a counterfeit.

Abstract: A system and method for reducing distance-based distortion in a camera image of an object, where the distanced-based distortion is due to differences in distance from the camera to different parts of the object. In one approach, the distortion is reduced by estimating distances to different parts of the object and then generating a reprojected image of the object dependent upon the estimated distances and upon a virtual viewpoint that is more distant than the camera from the object. In a further approach, the image is warped such that points in the image match corresponding points in one or more stored templates. In a still further approach, if excessive distortion is present in the image, the camera zoom is increased and a magnified image is displayed, prompting a person to move farther from the camera thereby reducing the distortion.

Abstract: A method and apparatus is provided for rendering an image. The method includes capturing a distorted input image using a color filter array to obtain an input image pattern having a single color channel per pixel. The input image is transformed to an input image signal. At least a portion of the input image signal is dewarped to obtain an undistorted image signal by (i) identifying selected coordinate points in the input signal that correspond to coordinate points in the undistorted image signal and (ii) determining a first color channel value for at least one of the selected coordinate points with a color correlation-adjusted interpolation technique using at least one nearest neighbor pixel having a color channel different from the first color channel.

Abstract: Straight lines in a compensated image of a wide-angle image are identified (102) and corresponding curved lines of pixels in the wide-angle image identified (103) as well. For given points in the aforementioned straight lines, a corresponding point in the corresponding curved lines is identified by determining an intersection of those curved lines with another line of pixels in the wide-angle image (104). The latter can comprise either a curved line that corresponds to another straight line in the compensated image, in which case the intersection is noted by tracing the curved lines using a scan-rasterization algorithm. The latter can also comprise, if desired, a straight line that corresponds to another straight line in the compensated image. In either case, the point of intersection is readily and efficiently determined.

Abstract: A system and method for reducing distance-based distortion in a camera image of an object, where the distanced-based distortion is due to differences in distance from the camera to different parts of the object. In one approach, the distortion is reduced by estimating distances to different parts of the object and then generating a reprojected image of the object dependent upon the estimated distances and upon a virtual viewpoint that is more distant than the camera from the object. In a further approach, the image is warped such that points in the image match corresponding points in one or more stored templates. In a still further approach, if excessive distortion is present in the image, the camera zoom is increased and a magnified image is displayed, prompting a person to move farther from the camera thereby reducing the distortion.

Abstract: A system and method for reducing distance-based distortion in a camera image of an object, where the distanced-based distortion is due to differences in distance from the camera to different parts of the object. In one approach, the distortion is reduced by estimating distances to different parts of the object and then generating a reprojected image of the object dependent upon the estimated distances and upon a virtual viewpoint that is more distant than the camera from the object. In a further approach, the image is warped such that points in the image match corresponding points in one or more stored templates. In a still further approach, if excessive distortion is present in the image, the camera zoom is increased and a magnified image is displayed, prompting a person to move farther from the camera thereby reducing the distortion.

Abstract: Upon determining (201) a need for image recognition facilitation content, a corresponding process (200) first determines (202 and 203) whether adequate local resources are available. When true, those local resources are used (204) to facilitate the desired image recognition. When false, however, one or more remote resources are accessed (205) and supplemental image recognition facilitation content is received (206) and locally used (207) to effect the desired image recognition process. Local memory management can optionally comprise, if desired, deletion (208) of some (or all) locally stored image recognition facilitation content and/or storage (209) of the remotely sourced image recognition facilitation content.

Abstract: An array transform system for parallel computation of a plurality of elements of an array transform includes a memory for storing an array of data elements. Each column of data elements from the memory is copied to a shifter that shifts the column of data elements in accordance with a shift value to produce a shifted column of data elements. The shifted columns of data elements are accumulated in a plurality of accumulators, with each accumulator producing an element of the array transform. A controller controls the shift value dependent upon the position of the column of data elements in the array of data elements.

Abstract: A home video system (200) capable of supporting video telephony includes a sub-system including a programmed processor (210) for analyzing illumination in a room (100) in which the system (200) is set up and recommending to the user of the system, lighting changes to avoid overwhelming the dynamic range of the camera (107), to optimize the ambient lighting and achieving a style of lighting selected by users of the system (200), thereby improving the video quality of the transmitted video image.

Abstract: Straight lines in a compensated image of a wide-angle image are identified (102) and corresponding curved lines of pixels in the wide-angle image identified (103) as well. For given points in the aforementioned straight lines, a corresponding point in the corresponding curved lines is identified by determining an intersection of those curved lines with another line of pixels in the wide-angle image (104). The latter can comprise either a curved line that corresponds to another straight line in the compensated image, in which case the intersection is noted by tracing the curved lines using a scan-rasterization algorithm. The latter can also comprise, if desired, a straight line that corresponds to another straight line in the compensated image. In either case, the point of intersection is readily and efficiently determined.

Abstract: A method is provided for identifying and verifying a person using hand biometrics with an anti-spoofing measure. The method comprises acquiring (51) a first image (10) of a hand in a first configuration, acquiring (52) a second image (30, 40) of the hand in one of the first and a second configuration for comparison with the first image (10), determining (52) whether a person can be identified from at least one of the first image (10) and the second image (30, 40), and determining (55) from a comparison of the second image (30, 40) with the first image (10) whether the hand is a counterfeit.

Abstract: A method according to the invention includes the steps of determining a signature metric (601) for a portion of a first image (403). A second image (401) is searched (605) for at least one relative match of the signature metric, yielding one or more candidate regions. In a pixel domain, the one or more candidate regions are searched (607) for the portion of the first image to obtain a motion vector for the first image (403). The second image (401) is searched in a search window (407) that is smaller than the area of the second image (401).