Titlebook: Versatile Video Coding (VVC); Machine Learning and Mário Saldanha,Gustavo Sanchez,Luciano Agostini Book 2022 The Editor(s) (if applicable)

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Fast Intra-frame Prediction Transform for Luminance Using Decision Trees,asses two solutions based on machine learning to avoid the MTS and LFNST evaluations in the costly Rate-Distortion Optimization (RDO) process. Experimental results showed that the proposed scheme provides an average encoding time reduction of 11% with a negligible impact on coding efficiency.

闡釋

Heuristic-Based Fast Block Partitioning Scheme for Chrominance,This scheme is composed of two heuristics to avoid some block evaluations in the costly Rate-Distortion Optimization (RDO) process. It includes chrominance splitting early termination based on luminance block partitioning structure and fast chrominance split decision based on the sub-block variances

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構(gòu)想

Ablation

State-of-the-Art Overview,argeting different steps of the VVC intra-frame prediction, such as block partitioning, intra-mode decision, and transform coding. In the end, this chapter summarizes the results achieved in each of these solutions.

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課程

Heuristic-Based Fast Block Partitioning Scheme for Chrominance,. Experimental results demonstrated that the proposed scheme provides 60.03% and 8.18% of chrominance and total encoding time reduction, respectively, with a negligible impact on the coding efficiency.