Fast CU Partition Decision Method Based on Bayes and Improved De-Blocking Filter for H.266/VVC

Abstract

The H.266/Versatile Video Coding (VVC) standard is the latest video coding standards released by the Joint Video Exploration Group (JVET). These new technologies have brought more than 40% increase in compression rate and brought huge coding complexity. In order to reduce the coding complexity of VVC, we propose a fast Coding Unit (CU) partition decision algorithm combining Bayes algorithm and Improved De-blocking Filter (IDBF). The algorithm includes two stages. In the parameter update stage, the original VVC Test Model (VTM) is used to encode every certain video frame, and the Rough Mode Decision evaluation cost (JRMD) generated during the encoding process is used to update the parameters of the Bayes algorithm. In the fast coding stage, the video frame between two parameter update frames is encoded. First, the JRMD of the current CU is calculated and compares it with the split threshold to decide whether the current CU continues to split. If the current CU continues to be split, the current CU is divided into the same 16 simulation blocks, and the IDBF is used to calculate the texture direction and texture complexity of each simulation block. According to the texture features contained in the simulation block, the texture distribution position and texture complexity in the current CU can be judged, so that some bad candidate splitting modes can be discarded. Experimental results show that the proposed method can reduce the complexity of VVC about 56.08%, while Bjontegaard delta bit rate (BDBR) only increases by 1.30%.