Abstract: A method and apparatus for frame coding in adaptive raster scan order. The method includes encoding at least one of image or video utilizing input frames and at least one of a data related to the input frame to produce bitstream with raster scan order information and displacement information for producing compressed video bitstream, at decoding time, decoding at least one of the encoded bitstream with raster scan order information and displacement information for producing compressed video bitstream.

Abstract: A method for encoding a video sequence in a video encoder to generate a compressed video bit stream is provided that includes binarizing a plurality of syntax elements, wherein each binarized syntax element comprises a string of one or more binary symbols (bins), wherein a bin is one selected from a context-coded bin and bypass bin, encoding the context-coded bins of the binarized syntax elements using binary arithmetic encoding, and adding the bypass bins of the binarized syntax elements to the compressed video bit stream with no encoding.

Abstract: A method for luma-based chroma intra-prediction in a video encoder or a video decoder is provided that includes down sampling a first reconstructed luma block of a largest coding unit (LCU), computing parameters ? and ? of a linear model using immediate top neighboring reconstructed luma samples and left neighboring reconstructed luma samples of the first reconstructed luma block and reconstructed neighboring chroma samples of a chroma block corresponding to the first reconstructed luma block, wherein the linear model is PredC[x,y]=?·RecL?[x,y]+?, wherein x and y are sample coordinates, PredC is predicted chroma samples, and RecL? is samples of the down sampled first reconstructed luma block, and wherein the immediate top neighboring reconstructed luma samples are the only top neighboring reconstructed luma samples used, and computing samples of a first predicted chroma block from corresponding samples of the down sampled first reconstructed luma block using the linear model and the parameters.

Abstract: A method for encoding a video sequence is provided that includes entropy encoding syntax elements representative of transform coefficients generated as the video sequence is processed, wherein entropy encoding syntax elements representative of a transform coefficient includes binarizing the syntax elements representative of the transform coefficient to generate a plurality of binary symbols (bins), coding a portion of the plurality of bins in context coding mode, and coding a remaining portion of the plurality of bins in bypass coding mode. The method further includes reducing the number of bins that are coded in context coding mode for each transform coefficient in a plurality of subsequent transform coefficients that are entropy encoded after a specified number of transform coefficients have been entropy encoded.

Abstract: Methods of encoding a video stream in a video encoder and decoding an encoded video stream in a video decoder using a low complexity large transform are provided. An encoding method includes receiving an n×n residual block in a transform component of the video encoder, and transforming the n×n residual block using an n×n transform to generate an n×n transform coefficient block, wherein the n×n transform is based on (n/m*n/m) m×m Hadamard transforms and (m*m) (n/m)×(n/m) discrete cosign transforms, wherein m<n. A decoding method includes receiving an n×n transform coefficient block in an inverse transform component of the video decoder, and applying an n×n inverse transform to the n×n transform coefficient block to reconstruct an n×n residual block, wherein the n×n inverse transform is based on (n/m*n/m) m×m Hadamard transforms and (m*m) (n/m)×(n/m) inverse discrete cosign transforms, wherein m<n.

Abstract: A method and apparatus for parallel processing of at least two bins relating to at least one of a video and an image. The method includes determining scan type of at least a portion of the at least one of video and an image, analyzing neighboring position of a bin, removing dependencies of context selection based on the scan type and position of location being encoded in a transform, and performing parallel processing of that least two bins.

Abstract: An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding includes receiving a compressed bitstream. The method also includes separating, from the compressed bitstream, a first bitstream and a second bitstream. The method further includes decoding, from the second bitstream, connectivity information of a three dimensional (3D) mesh. The method additionally includes decoding, from the first bitstream, a first frame and a second frame that include patches. The patches included in the first frame represent vertex coordinates of the 3D mesh and the patches included in the second frame represent a vertex attribute of the 3D mesh. The method also includes reconstructing a point cloud based on the first and second frames. Additionally, the method also includes applying the connectivity information to the point cloud to reconstruct the 3D mesh.

Abstract: A method for decoding an encoded video bit stream in a video decoder is provided that includes determining a scan pattern type for a transform block to be decoded, decoding a column position X and a row position Y of a last non-zero coefficient in the transform block from the encoded video bit stream, selecting a column-row inverse transform order when the scan pattern type is a first type, selecting a row-column inverse transform order when the scan pattern type is a second type, and performing one dimensional (1D) inverse discrete cosine transformation (IDCT) computations according to the selected transform order to inversely transform the transform block to generate a residual block.

Abstract: An encoding device and a method for point cloud encoding are disclosed. The method includes generating, for a 3D point cloud, an attribute frame and an occupancy map. The method also includes reducing a resolution of the frames over a number of sequential steps, until the frames are a predetermined size. After the frames are reduced to the predetermined size, the method includes increasing the resolution of the frames over the number of sequential steps while adding padding to modify at least some of the pixels in the attribute frame that do not represent points of the 3D point cloud. While the resolution of the attribute frame is incrementally increased, the method includes performing smoothing on the pixels in the attribute frame that do not represent the points of the 3D point cloud. The method additionally includes encoding the frames to generate a bitstream and then transmitting the bitstream.

Abstract: Techniques for context-adaptive binary arithmetic coding (CABAC) coding with a reduced number of context coded and/or bypass coded bins are provided. Rather than using only truncated unary binarization for the syntax element representing the delta quantization parameter and context coding all of the resulting bins as in the prior art, a different binarization is used and only part of the resulting bins are context coded, thus reducing the worst case number of context coded bins for this syntax element. Further, binarization techniques for the syntax element representing the remaining actual value of a transform coefficient are provided that restrict the maximum codeword length of this syntax element to 32 bits or less, thus reducing the number of bypass coded bins for this syntax element over the prior art.

Abstract: An electronic device, a client device, and a method for split rendering video content are disclosed. The method includes receiving user data including viewpoint and motion data associated with a client device. The method also includes identifying a first portion of the video content corresponding to a field of view (FoV) of the client device based on the viewpoint. The method further includes identifying speed and direction of the client device based on the motion data. Additionally, the method includes identifying, based on the speed and the direction, a second portion of the video content extending from the first portion of the video content and expanding the FoV. The method also includes scaling the second portion of the video content using a scaling factor that is determined based on the speed. The method further includes transmitting the first and second portions of the video content and the scaling factor.

Abstract: A method and apparatus for frame coding in adaptive raster scan order. The method includes encoding at least one of image or video utilizing input frames and at least one of a data related to the input frame to produce bitstream with raster scan order information and displacement information for producing compressed video bitstream, at decoding time, decoding at least one of the encoded bitstream with raster scan order information and displacement information for producing compressed video bitstream.

Abstract: An encoding device and a decoding device is disclosed. The encoding device includes a processor and a communication interface. The processor is configured to generate, for a 3D point cloud, a first frame representing a first attribute and a second frame representing a second attribute. The first and second frames include patches representing respective clusters of points from the 3D point cloud. The processor is configured to generate an occupancy map frame. The processor is configured to identify a query point that is positioned on a boundary of one of the patches. The processor is configured to perform smoothing with respect to the query point. The processor is configured to encode the frames and generate a compressed bitstream. The communication is configured to transmit the compressed bitstream.

Abstract: An encoding device, a decoding device, and a method for mesh decoding are disclosed. The method for mesh decoding includes receiving a bitstream. The method also includes decoding a frame that includes pixels from the bitstream. A portion of the pixels of the frame represent geometric locations of vertices of a 3D mesh that are organized into overlapped patches The method further includes decoding connectivity information from the bitstream. Additionally, the method includes identifying triangles associated with the overlapped patches The triangles represented in an overlapped patch of the overlapped patches are allocated to a projection direction based on a normal vector associated with each of the triangles of the overlapped patch. The method also includes reconstructing the 3D mesh based on the connectivity information and the overlapped patches.

Abstract: A method for encoding a video sequence in a video encoder to generate a compressed video bit stream is provided that includes binarizing a plurality of syntax elements, wherein each binarized syntax element comprises a string of one or more binary symbols (bins), wherein a bin is one selected from a context-coded bin and bypass bin, encoding the context-coded bins of the binarized syntax elements using binary arithmetic encoding, and adding the bypass bins of the binarized syntax elements to the compressed video bit stream with no encoding.

Abstract: A method for adaptive loop filtering of a reconstructed picture in a video encoder is provided that includes determining whether or not sample adaptive offset (SAO) filtering is applied to the reconstructed picture, and using adaptive loop filtering with no offset for the reconstructed picture when the SAO filtering is determined to be applied to the reconstructed picture.

Abstract: A method and apparatus for decoding video. The method includes determining a sample adaptive offset edge type of at least a portion of the image, determining a boundary edge type of the at least a portion of the image, modifying the sample adaptive offset edge type of the at least a portion of the image according to the determined edge type of the at least a portion of the image, selecting a sample adaptive offset type according to at least one of the determined sample adaptive offset edge type or the modified sample adaptive offset edge type, and filtering at least a portion of the image utilizing the selected filter type.

Abstract: A method for decoding an encoded video bit stream in a video decoder is provided that includes determining a scan pattern type for a transform block to be decoded, decoding a column position X and a row position Y of a last non-zero coefficient in the transform block from the encoded video bit stream, selecting a column-row inverse transform order when the scan pattern type is a first type, selecting a row-column inverse transform order when the scan pattern type is a second type, and performing one dimensional (1D) inverse discrete cosine transformation (IDCT) computations according to the selected transform order to inversely transform the transform block to generate a residual block.

Abstract: Techniques for context-adaptive binary arithmetic coding (CABAC) coding with a reduced number of context coded and/or bypass coded bins are provided. Rather than using only truncated unary binarization for the syntax element representing the delta quantization parameter and context coding all of the resulting bins as in the prior art, a different binarization is used and only part of the resulting bins are context coded, thus reducing the worst case number of context coded bins for this syntax element. Further, binarization techniques for the syntax element representing the remaining actual value of a transform coefficient are provided that restrict the maximum codeword length of this syntax element to 32 bits or less, thus reducing the number of bypass coded bins for this syntax element over the prior art.

Abstract: A decoding device, an encoding device and methods for point cloud encoding and decoding are disclosed. The method for decoding includes decoding an attribute frame, a geometry frame, and occupancy map frame from a received bitstream. The attribute and geometry frames include pixels representing points of a 3D point cloud and the occupancy map frame includes values. The method also includes generating a binary occupancy map frame based on comparing the values in the occupancy map frame to a scaling threshold to determine whether the pixels included in the attribute and geometry frames at corresponding positions in the binary occupancy map frame are valid pixels. The method further includes generating the 3D point cloud using the attribute frame, the geometry frame, and the binary occupancy map frame.