Vid Scale, Inc.

Qualcomm Incorporated

Interdigital Madison Patent Holdings, Sas

Interdigital Vc Holdings, Inc.

Jie Dong

Yan Ye

Yuwen He

Marta Karczewicz

Xiaoyu Xiu

Yong He

Muhammed Zeyd Coban

George W McClellan

Vadim Seregin

Qian Chen

Eun Seok Ryu

Can Bal

Amir Said

Nan Hu

Ralph Neff

Li Feng Zhang

Wei-Jung Chien

Cheng-Teh Hsieh

Yung-Hsuan Chao

Thorsten Laude

Eun Ryu

Enming Luo

George W Mcclellan

A video decoder is configured to receive bin values according to a context model, wherein the context model includes one or more probability states and the bin values correspond to one or more syntax elements of the video data; determine a first shift value based on the received bin values; determine a second shift value based on the received bin values; update a first state variable based on the first shift value; update a second state variable based on the second shift value; determine, for a next bin to be decoded, a probability state for the context model based on the first state variable and the second state variable; context decode the next bin to be decoded based on the probability state; and determine values for the one or more syntax elements based on the received bin values and the context decoded next bin value.

Context adaptive binary arithmetic coding (CABAC) probability estimation for video coding

Systems, methods, and instrumentalities are disclosed relating to intra prediction of a video signal based on mode-dependent subsampling. A block of coefficients associated with a first sub block of a video block, one or more blocks of coefficients associated with one or more remaining sub blocks of the video block, and an indication of a prediction mode for the video block may be received. One or more interpolating techniques, a predicted first sub block, and the predicted sub blocks of the one or more remaining sub blocks may be determined. A reconstructed first sub block and one or more reconstructed remaining sub blocks may be generated. A reconstructed video block may be formed based on the prediction mode, the reconstructed first sub block, and the one or more reconstructed remaining sub blocks.

Systems and methods for spatial prediction

Cross-plane filtering may be used to restore blurred edges and/or textures in one or both chroma planes using information from a corresponding luma plane. Adaptive cross-plane filters may be implemented. Cross-plane filter coefficients may be quantized and/or signaled such that overhead in a bitstream minimizes performance degradation. Cross-plane filtering may be applied to select regions of a video image (e.g., to edge areas). Cross-plane filters may be implemented in single-layer video coding systems and/or multi-layer video coding systems.

Cross-plane filtering for chroma signal enhancement in video coding

Systems, methods, and instrumentalities are provided to implement video coding system (VCS). The VCS may be configured to receive a video signal, which may include one or more layers (e.g., a base layer (BL) and/or one or more enhancement layers (ELs)). The VCS may be configured to process a BL picture into an inter-layer reference (ILR) picture, e.g., using picture level inter-layer prediction process. The VCS may be configured to select one or both of the processed ILR picture or an enhancement layer (EL) reference picture. The selected reference picture(s) may comprise one of the EL reference picture, or the ILR picture. The VCS may be configured to predict a current EL picture using one or more of the selected ILR picture or the EL reference picture. The VCS may be configured to store the processed ILR picture in an EL decoded picture buffer (DPB).

Codec architecture for multiple layer video coding

An example device includes processing circuitry configured to determine a first state of a data structure, the first state representing a first quantizer applied to a previously quantized or inverse quantized value of a previous transform coefficient of residual data for a block of the video data and update the data structure to a second state according to the first state and a parity of a partial set of syntax elements representing a partial set of a plurality of coefficient levels for the previous transform coefficient. The processing circuitry is further configured to determine a second quantizer to be used to quantize or inverse quantize a current value of a current transform coefficient according to the second state of the data structure and quantize or inverse quantize the current value of the current transform coefficient using the second quantizer.

Trellis coded quantization coefficient coding

Embodiments contemplate coding video data by generating a video encoded bitstream that may include reference picture set (RPS) extensions for inter-layer reference pictures, and the extensions may include inter-layer delta Picture Order Counts (POCs). Embodiments may also include signaling that lower layer reference pictures may be available in a lower layer decoder picture buffer (DPB), and/or an aggregate DPB, that may be added to the RPS set of a higher layer. The bitstream may include a signal indicating whether the higher layer RPS may be specified by a lower layer RPS, and the lower layer RPS may be temporal, inter-layer prediction (ILP), or both.

Reference picture set (RPS) signaling for scalable high efficiency video coding (HEVC)

Techniques are described of hybrid coders that are configured to selectively use adaptive or non-adaptive coding techniques. A video coder (e.g., video encoder or video decoder) may code (e.g., encode or decode) first video data (e.g., a syntax element or value), for coding a first block, based on an adaptive context model (e.g., one or more adaptive context models) and code second video data, for coding a second block, based on a non-adaptive context model (e.g., one or more non-adaptive context models).

Arithmetic coding with selective adaptation for video coding

Sampling grid information may be determined for multi-layer video coding systems. The sampling grid information may be used to align the video layers of a coding system. Sampling grid correction may be performed based on the sampling grid information. The sampling grids may also be detected. In some embodiments, a sampling grid precision may also be detected and/or signaled.

Sampling grid information for spatial layers in multi-layer video coding

An example method includes decoding a plurality of filter coefficients of a cross-component adaptive loop filter, wherein decoding a particular filter coefficient of the plurality of filter coefficients comprises: decoding, from an encoded video bitstream, a syntax element specifying an exponent value that represents a log base 2 of an absolute value of the particular filter coefficient as two raised to the power of the exponent value; and determining a value of the particular filter coefficient based on the exponent value; reconstructing samples of a block of video data; and cross-component adaptive loop filtering, based on the plurality of filter coefficients, the block of video data.

Bit shifting for cross-component adaptive loop filtering for video coding

A video decoder can be configured to determine a threshold number of regular coded bins for a first decoding pass; for a first set of coefficients, context decode syntax elements of a coefficient group until the threshold number of regular coded bins is reached; and in response to reaching the threshold number of regular coded bins, for a second set of coefficients, bypass decode additional syntax elements, wherein to bypass decode the additional syntax elements the video decoder, for a coefficient of the second set of coefficients, derives a value for a Rice parameter based on a sum of absolute values of neighboring coefficients to the coefficient; determine values for the first set of coefficients of the transform unit based on the context decoded syntax elements; and determine values for the second set of coefficients of the transform unit based on the additional syntax elements.

Regular coded bin reduction for coefficient coding

An example device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: determine a number of bits, k, used to represent a decimal value for a filter coefficient of a cross-component adaptive loop filter; determine that a dynamic range of the filter coefficient comprises (&#x2212;(1&#x3c;&#x3c;(k&#x2212;c))+1, (1&#x3c;&#x3c;(k&#x2212;c))&#x2212;1) for a value of c, c representing an offset value to the value of k, and '&#x3c;&#x3c;' representing a bitwise left shift operator; decode a block of the video data; and performing cross-component adaptive loop filtering of the decoded block using the filter coefficient, the filter coefficient being within the dynamic range.

Cross-component adaptive loop filtering for video coding

An example method for entropy decoding of video data includes retrieving a pre-defined initialization value for a context of a plurality of contexts used in a context-adaptive entropy coding process to entropy code a value for a syntax element for an independently codable unit of video data; determining, based on the pre-defined initialization value and in a linear domain, an initial probability state of the context; and entropy decoding, from a bitstream and based on the initial probability state of the context, a bin of the value for the syntax element.

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Jie Dong