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Adaptive block tree structure for video coding
ETRI Journal ( IF 1.3 ) Pub Date : 2020-12-06 , DOI: 10.4218/etrij.2019-0217
Aram Baek 1 , Daehyeok Gwon 1 , Sohee Son 1 , Jinho Lee 2 , Jung‐Won Kang 2 , Hui Yong Kim 2 , Haechul Choi 1
Affiliation  

The Joint Video Exploration Team (JVET) has studied future video coding (FVC) technologies with a potential compression capacity that significantly exceeds that of the high‐efficiency video coding (HEVC) standard. The joint exploration test model (JEM), a common platform for the exploration of FVC technologies in the JVET, employs quadtree plus binary tree block partitioning, which enhances the flexibility of coding unit partitioning. Despite significant improvement in coding efficiency for chrominance achieved by separating luminance and chrominance tree structures in I slices, this approach has intrinsic drawbacks that result in the redundancy of block partitioning data. In this paper, an adaptive tree structure correlating luminance and chrominance of single and dual trees is presented. Our proposed method resulted in an average reduction of −0.24% in the Y Bjontegaard Delta rate relative to the intracoding of JEM 6.0 common test conditions.

中文翻译:

用于视频编码的自适应块树结构

联合视频探索小组(JVET)研究了未来的视频编码(FVC)技术,其潜在的压缩能力大大超过了高效视频编码(HEVC)标准。联合探索测试模型(JEM)是探索JVET中FVC技术的通用平台,它采用四叉树加二叉树块划分,从而增强了编码单元划分的灵活性。尽管通过分离I条带中的亮度和色度树结构实现了色度的编码效率的显着改善,但是该方法具有固有的缺点,导致块分割数据的冗余。在本文中,提出了一种与单棵树和双棵树的亮度和色度相关的自适应树结构。我们提出的方法导致平均降低-0。
更新日期:2020-12-06
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