Abstract: A system and method of providing motion estimation is disclosed. A recursive motion estimation module works in conjunction with a non-recursive motion estimation module to provide candidate motion vectors to a selection module. The selection module determines which of the candidates is more likely to yield a desirable result and selects that candidate accordingly.

Abstract: Systems and methods for efficiently encoding and/or reformatting video data including transparent overlay portions are disclosed. In one embodiment, the method includes using two prediction regions for predicting the portion of the video including the transparent overlay. In one embodiment, a first of the two prediction regions is determined based on motion compensated prediction in reference to another video frame and a second of the two prediction regions is a collocated portion of video in another frame as referenced by a virtual zero motion vector. A mixing weight factor to be used for combining the two predictions is determined. In one embodiment, the mixing weight factor is determined based on the relative values of two error metrics, a first error metric related to the motion compensated prediction and a second error metric related to the collocated prediction of the virtual zero motion vector.

Abstract: A system and method of collection motion vectors for motion compensated interpolation of digital video are disclosed. For example, one embodiment includes a method of identifying motion vectors for interpolating a portion of a digital video signal. The method comprises identifying a plurality of motion vectors indicative of differences between first and second frames of a digital video signal and projecting each of the motion vectors to a location within a third frame at a time associated with the third frame. The method further includes determining a measure of overlap of each projected location with a portion of a third frame to be interpolated, selecting at least one motion vector based on the measure, and generating at least a portion of a third frame based on the selected at least one motion vector selected. Other embodiments include a system and device configured to perform the method.

Abstract: Systems and methods for efficiently reformatting video data in regions of video including occlusions are disclosed. In one embodiment, the method includes determining multiple motion vectors that link/relate matching blocks of two reference frames and calculating a measure related to overlap area of the matching blocks in one or both of the reference frames with a block to be constructed in an intermediate frame. The measure related to overlap area takes into account a particular interpolation phase of the frame being constructed in relation to the two reference frames. In one embodiment, a ranking of the measure related to overlap areas is used to classify the block to be constructed according to a degree of occlusion. In another aspect the location of the matching blocks in one or both of the reference frames is used in the classification of the block to be constructed.

Abstract: A method and system for determining a measure of reliability of a computed motion estimate based on the histogram of the error block obtained based on the computed motion estimate taking into account some aspects of the image content.

Abstract: A system and method of collection motion vectors for motion compensated interpolation of digital video are disclosed. For example, one embodiment includes a method of identifying motion vectors for interpolating a portion of a digital video signal. The method comprises identifying a plurality of motion vectors indicative of differences between first and second frames of a digital video signal and projecting each of the motion vectors to a location within a third frame at a time associated with the third frame. The method further includes determining a measure of overlap of each projected location with a portion of a third frame to be interpolated, selecting at least one motion vector based on the measure, and generating at least a portion of a third frame based on the selected at least one motion vector selected. Other embodiments include a system and device configured to perform the method.

Abstract: A system and method of providing motion estimation is disclosed. A recursive motion estimation module works in conjunction with a non-recursive motion estimation module to provide candidate motion vectors to a selection module. The selection module determines which of the candidates is more likely to yield a desirable result and selects that candidate accordingly.

Abstract: Systems and methods for efficiently reformatting video data in regions of video including occlusions are disclosed. In one embodiment, the method includes determining multiple motion vectors that link/relate matching blocks of two reference frames and calculating a measure related to overlap area of the matching blocks in one or both of the reference frames with a block to be constructed in an intermediate frame. The measure related to overlap area takes into account a particular interpolation phase of the frame being constructed in relation to the two reference frames. In one embodiment, a ranking of the measure related to overlap areas is used to classify the block to be constructed according to a degree of occlusion. In another aspect the location of the matching blocks in one or both of the reference frames is used in the classification of the block to be constructed.

Abstract: Systems and methods for efficiently encoding and/or reformatting video data including transparent overlay portions are disclosed. In one embodiment, the method includes using two prediction regions for predicting the portion of the video including the transparent overlay. In one embodiment, a first of the two prediction regions is determined based on motion compensated prediction in reference to another video frame and a second of the two prediction regions is a collocated portion of video in another frame as referenced by a virtual zero motion vector. A mixing weight factor to be used for combining the two predictions is determined. In one embodiment, the mixing weight factor is determined based on the relative values of two error metrics, a first error metric related to the motion compensated prediction and a second error metric related to the collocated prediction of the virtual zero motion vector.

Abstract: A method of super resolution-based deintelacing processing in interlaced video sequences is provided. Block matching is applied on each image block to obtain a motion vector MV. Using MV as the initial motion vector, optical flow is applied on that block to obtain a sub-pixel resolution motion vector OF. Missing pixels are then interpolated using motion vector OF and one or more images in the sequence.

Abstract: A method and system for determining a measure of reliability of a computed motion estimate based on the histogram of the error block obtained based on the computed motion estimate taking into account some aspects of the image content.