High Efficiency Intra CU Partition and Mode Decision Method for VVC

Chi Ting Ni, Shih Hsiang Lin, Pei Yin Chen, Yu Ting Chu

研究成果: Article同行評審

14 引文 斯高帕斯(Scopus)

摘要

Versatile video coding (VVC/H.266) is the newest video compression standard, which is developed by the Joint Video Experts Team. Compared with previous encoding schemes, VVC achieves higher compression efficiency by introducing a new partition structure and additional intra prediction modes but results in high computational complexity. To efficiently solve this problem of redundant processing in quad-tree with nested multi-type tree structures and intra mode prediction, we propose a texture analysis-based ternary tree (TT) and binary tree (BT) partition strategy, and a gradient-based intra mode decision method to accelerate TT and BT partition and intra mode prediction, separately. The texture complexity and prediction direction of coding unit (CU) is calculated by texture detection method. A texture analysis-based TT and BT partition strategy is established by using the regression method based on analyzing the texture complexity of the CU. Then, a texture analysis-based TT and BT partition strategy is applied to reduce the redundant partition for each CU. By using the prediction direction of CU, a gradient-based intra mode decision method is established for skipping the impossible modes for each CU. Experimental results revealed that the proposed method could save 49.49% in encoding time and increase the Bjontegaard delta bit rate (BDBR) by only 0.56%. It confirms that the proposed method achieved high efficiency and a good balance between the BDBR and time saving.

原文English
頁(從 - 到)77759-77771
頁數13
期刊IEEE Access
10
DOIs
出版狀態Published - 2022

All Science Journal Classification (ASJC) codes

  • 一般電腦科學
  • 一般材料科學
  • 一般工程
  • 電氣與電子工程

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