There is disclosed a method, an apparatus, a server, a client and a non-transitory computer readable medium comprising a computer program stored therein for motion compensated video coding and decoding. Texture block motion information is used to derive disparity/depth motion information. Alternatively, disparity/depth motion information is used to derive texture block motion information.

An apparatus, a method and a computer program for video coding and decoding

Techniques and tools for encoding enhancement layer video with quantization that varies spatially and/or between color channels are presented, along with corresponding decoding techniques and tools. For example, an encoding tool determines whether quantization varies spatially over a picture, and the tool also determines whether quantization varies between color channels in the picture. The tool signals quantization parameters for macroblocks in the picture in an encoded bit stream. In some implementations, to signal the quantization parameters, the tool predicts the quantization parameters, and the quantization parameters are signaled with reference to the predicted quantization parameters. A decoding tool receives the encoded bit stream, predicts the quantization parameters, and uses the signaled information to determine the quantization parameters for the macroblocks of the enhancement layer video. The decoding tool performs inverse quantization that can vary spatially and/or between color channels.

Adaptive quantization for enhancement layer video coding

A video encoder identifies a current smooth region of a current picture in a sequence and performs temporal analysis by determining whether a corresponding region in at least one previous and/or future picture is smooth. Based at least in part on the temporal analysis, the encoder adjusts quantization in the current smooth region. An encoder determines a differential quantization interval for a sequence, the interval comprising an interval number. The interval constrains the encoder to skip differential quantization for at least the interval number of predicted pictures after a predicted differentially quantized picture. An encoder analyzes texture in a current picture and sets a smoothness threshold. The encoder compares texture data with the smoothness threshold and adjusts differential quantization for at least part of the current picture based on a finding of at least one smooth region in the current picture according to the smoothness threshold.

Quantization adjustment based on texture level

A method is described for providing one or more tile streams to a client device for rendering a region-of-interest (ROI), wherein said ROI defines a region of a tile representation of a source video and wherein said method comprises: rendering a region-of-interest (ROI) video stream comprising a ROI of said source video; receiving ROI position information of at least one frame of said ROI video stream; and, receiving one or more tile streams that are requested the basis of said ROI position information and a spatial manifest file, said spatial manifest file defining one or more tile representations of said source video, a tile representation comprising one or more tile identifiers for identifying one or more tile streams and a tile position information defining the spatial position of said tile streams.

Providing tile video streams to a client

A video encoder identifies one or more AC coefficients of each of plural blocks in the picture. The encoder identifies a threshold quantization step size such that the identified AC coefficient(s) of each of the plural blocks are nonzero after quantization according to the threshold quantization step size. The threshold quantization step size is such that quantization according to the next higher quantization step size would result in at least one of the identified AC coefficient(s) of at least one of the plural blocks being zero. For example, identifying the threshold quantization step size comprises identifying n top AC coefficients in each of four blocks of a macroblock, determining the smallest AC coefficient among the identified n top AC coefficients of the four blocks, and iteratively evaluating the smallest AC coefficient with respect to candidate quantization step sizes until the threshold quantization step size is identified.

Adjusting quantization to preserve non-zero AC coefficients

A system, apparatus, and method related to content adaptive partitioning for prediction and coding for next generation video (NGV) coding are described. NGV coding differs from standards-based approaches as it naturally incorporates significant content-based adaptivity in video coding process to achieve higher compression. On the other hand, NGV exploits interframe differences due to motion and other types of interframe difference (gain, blur, registration) that naturally exist in typical video scenes.

Video codec architecture for next generation video

Techniques related to dominant motion compensated prediction for next generation video coding are described.

Content adaptive dominant motion compensated prediction for next generation video coding

A method for video coding according to the present invention comprises: the steps of receiving prediction error data or coding partition or a partition of original pixel data for transform coding; performing a closed-form parametric transform on the prediction error data or coding partition or the partition of original pixel data to generate transform coefficients; quantizing the transform coefficients to generate quantized transform coefficients; and entropy encoding data associated with the quantized transform coefficient into a bitstream.

Content adaptive parametric transforms for coding for next generation video

A system and method for impairments compensation filtering is described that can be used either in conjunction with video coding, or standalone for postprocessing. It uses a wiener filtering approach in conjunction with an efficient codebook representation.

Content adaptive quality restoration filtering for high efficiency video coding

T A computer-implemented method for video coding described below includes receiving a prediction error data partition for transform coding, partitioning the prediction error data partition to generate a plurality of coding partitions of the prediction error data partition, performing a content adaptive transform on a first subset of the plurality of coding partitions, and performing a fixed transform on a second subset of the plurality of coding partitions.

Neelesh N. Gokhale

Papers

Video codec architecture for next generation video

Content adaptive dominant motion compensated prediction for next generation video coding

Content adaptive parametric transforms for coding for next generation video

Content adaptive quality restoration filtering for high efficiency video coding

Content adaptive transform coding for next generation video