Abstract: The present invention, with respect to a method of processing video data, provides a method of processing video data, provides a method characterized by comprising the steps of: performing a clustering for the video data; generating at least one data cluster as a result of the clustering; generating at least one Graph laplacian matrix corresponding to the at least one data cluster; performing conversion optimization on the basis of multiple graph-based models, wherein the multiple graph-based models respectively include at least one graph laplacian matrix; and generating an optimized conversion matrix according to the results of performing the conversion optimization.

Abstract: The present invention, with respect to a method of processing video data, provides a method of processing video data, provides a method characterized by comprising the steps of: performing a clustering for the video data; generating at least one data cluster as a result of the clustering; generating at least one Graph laplacian matrix corresponding to the at least one data cluster; performing conversion optimization on the basis of multiple graph-based models, wherein the multiple graph-based models respectively include at least one graph laplacian matrix; and generating an optimized conversion matrix according to the results of performing the conversion optimization.

Abstract: The present invention provides a method for performing a transform, the method comprising the steps of: deriving a row transform set, a column transform set, and a permutation matrix on the basis of a given transform matrix (H) and error tolerance parameter; obtaining a row-column transform (RCT) coefficient on the basis of the row transform set, the column transform set, and the permutation matrix; and performing a quantization and an entropy encoding on the RCT coefficient, wherein the permutation matrix represents a matrix obtained by permutating a row of an identity matrix.

Abstract: Disclosed is a method allowing enhanced prediction of a video signal, the method comprising the steps of: entropy-decoding a neighboring block adjacent to a target block; inverse-quantizing the entropy-decoded neighboring block; acquiring the modified neighboring block by carrying out a modified inverse transform on an inverse-quantized transform coefficient vector of the neighboring block; and generating a prediction block for the target block based on the modified neighboring block, wherein the modified inverse transform applies a different scaling matrix for each pixel location reconstructed for the inverse-quantized transform coefficient vector of the neighboring block.

Abstract: Provided is a method for processing a video signal on the basis of an arbitrary partition transform, the method comprising the steps of: determining a partition set for input data, the partition set indicating a set of partitions divided from a data block on the basis of a scanning pattern; determining a transform matrix set corresponding to the partition set; obtaining an arbitrary partition transform vector for each partition by applying the transform matrix set to the partition set; and obtaining the arbitrary partition transform coefficient for the input data by inverse-mapping the arbitrary partition transform vector.

Abstract: The present invention provides a method for encoding a video signal by using an enhanced prediction signal, the method comprising the steps of: generating a prediction signal for a current block, wherein the prediction signal is generated by applying a prediction weight to a reconstructed pixel of the current block and a pixel of a motion-compensated previously decoded block; obtaining an optimal quantized transform coefficient for the current block through rate-distortion optimization, on the basis of the prediction signal; and performing entropy encoding of the optimal quantized transform coefficient.

Abstract: The present invention, with respect to a method of processing video data, provides a method of processing video data, provides a method characterized by comprising the steps of: performing a clustering for the video data; generating at least one data cluster as a result of the clustering; generating at least one Graph laplacian matrix corresponding to the at least one data cluster; performing conversion optimization on the basis of multiple graph-based models, wherein the multiple graph-based models respectively include at least one graph laplacian matrix; and generating an optimized conversion matrix according to the results of performing the conversion optimization.

Abstract: The present invention provides a method for encoding a video signal by using a single optimized graph, comprising the steps of: obtaining a residual block; generating graphs from the residual block; generating an optimized graph and an optimized transform by combining the graphs, wherein the graphs are combined on the basis of an optimization step; and performing a transform for the residual block on the basis of the optimized graph and the optimized transform.

Abstract: A method for encoding a video signal includes: a step of selecting a transform parameter set via an optimization process for a target block, wherein the transform parameter set comprises a vertical transform set, a horizontal transform set and a transform order parameter set; a step of updating, on the basis of the selected transform parameter set, a transform block having a singleton coefficient, wherein the single ton coefficient represents a single coefficient obtained on the basis of the transform order parameter set; a step of obtaining a transform coefficient for the target block on the basis of the updated transform block; a step of quantizing the transform coefficient; and a step of entropy encoding the quantized transform coefficient.

Abstract: Disclosed is a method allowing enhanced prediction of a video signal, the method comprising the steps of: entropy-decoding a neighboring block adjacent to a target block; inverse-quantizing the entropy-decoded neighboring block; acquiring the modified neighboring block by carrying out a modified inverse transform on an inverse-quantized transform coefficient vector of the neighboring block; and generating a prediction block for the target block based on the modified neighboring block, wherein the modified inverse transform applies a different scaling matrix for each pixel location reconstructed for the inverse-quantized transform coefficient vector of the neighboring block.

Abstract: Provided is a method for processing a video signal on the basis of an arbitrary partition transform, the method comprising the steps of: determining a partition set for input data, the partition set indicating a set of partitions divided from a data block on the basis of a scanning pattern; determining a transform matrix set corresponding to the partition set; obtaining an arbitrary partition transform vector for each partition by applying the transform matrix set to the partition set; and obtaining the arbitrary partition transform coefficient for the input data by inverse-mapping the arbitrary partition transform vector.

Abstract: The present invention provides a method for encoding a video signal by using an enhanced prediction signal, the method comprising the steps of: generating a prediction signal for a current block, wherein the prediction signal is generated by applying a prediction weight to a reconstructed pixel of the current block and a pixel of a motion-compensated previously decoded block; obtaining an optimal quantized transform coefficient for the current block through rate-distortion optimization, on the basis of the prediction signal; and performing entropy encoding of the optimal quantized transform coefficient.

Abstract: The present invention provides a method for encoding a video signal by using a single optimized graph, comprising the steps of: obtaining a residual block; generating graphs from the residual block; generating an optimized graph and an optimized transform by combining the graphs, wherein the graphs are combined on the basis of an optimization step; and performing a transform for the residual block on the basis of the optimized graph and the optimized transform.

Abstract: A method for performing enhanced prediction on video signals includes the steps of: performing entropy decoding and dequantization on a neighboring block of a target block; performing a scaling on a dequantized transform coefficient for the neighboring block by using a scaling matrix; acquiring a modified neighboring block by performing inverse transform on the scaled transform coefficient; and generating a prediction block for the target block on the basis of the modified neighboring block.

Abstract: An apparatus for performing video segmentation, including image sensors of a first type, auxiliary sensors of a second type, and a processor executing computer-executable instructions stored in memory. The instructions include capturing RGB image video data from a plurality of first image sensors; capturing second video data from a plurality of second, auxiliary sensors; for a reference frame, determining an initial segmentation map by segmenting a first object-of-interest from a background from said second video data; determining a history of segmentation information on a pixel-by-pixel basis, wherein a length of said history is based on motion data for the object-of-interest; generating a refined segmentation map by refining on a pixel-by-pixel basis a corresponding value of said initial segmentation map based on said history of segmentation information; and performing RGB segmentation on a corresponding reference frame of said RGB image video based on said refined segmentation map.

Abstract: Embodiments of the present invention provide a novel system and/or method for performing over-the-network collaborations and interactions between remote end-users. Embodiments of the present invention produce the perceived effect of each user sharing a same physical workspace while each person is actually located in separate physical environments. In this manner, embodiments of the present invention allow for more seamless interactions between users while relieving them of the burden of using common computer peripheral devices such as mice, keyboards, and other hardware often used to perform such interactions.

Abstract: Embodiments of the present invention provide a novel system and/or method for performing over-the-network collaborations and interactions between remote end-users. Embodiments of the present invention produce the perceived effect of each user sharing a same physical workspace while each person is actually located in separate physical environments. In this manner, embodiments of the present invention allow for more seamless interactions between users while relieving them of the burden of using common computer peripheral devices such as mice, keyboards, and other hardware often used to perform such interactions.

Abstract: An apparatus for performing video segmentation, including image sensors of a first type, auxiliary sensors of a second type, and a processor executing computer-executable instructions stored in memory. The instructions include capturing RGB image video data from a plurality of first image sensors; capturing second video data from a plurality of second, auxiliary sensors; for a reference frame, determining an initial segmentation map by segmenting a first object-of-interest from a background from said second video data; determining a history of segmentation information on a pixel-by-pixel basis, wherein a length of said history is based on motion data for the object-of-interest; generating a refined segmentation map by refining on a pixel-by-pixel basis a corresponding value of said initial segmentation map based on said history of segmentation information; and performing RGB segmentation on a corresponding reference frame of said RGB image video based on said refined segmentation map.