An enhanced entropy coding scheme for HEVC
作者：
Highlights：
• An improved context modeling is proposed for the transform coefficient levels.
• The position and neighbors are used as the contexts of transform coefficient levels.
• For significant map, the same region in different TBs shares one context model set.
• For level information, the bins from previous scan pass are also used as contexts.
• A binary arithmetic coding (BAC) with low memory requirement is proposed.
• The multiplication with low bit capacity is used in the BAC to reduce memory cost.
摘要
Highlights•An improved context modeling is proposed for the transform coefficient levels.•The position and neighbors are used as the contexts of transform coefficient levels.•For significant map, the same region in different TBs shares one context model set.•For level information, the bins from previous scan pass are also used as contexts.•A binary arithmetic coding (BAC) with low memory requirement is proposed.•The multiplication with low bit capacity is used in the BAC to reduce memory cost.
论文关键词：HEVC,CABAC,Entropy coding,Context modeling,Binary arithmetic coding
论文评审过程：Received 28 September 2015, Revised 10 March 2016, Accepted 27 March 2016, Available online 29 March 2016, Version of Record 3 May 2016.
论文官网地址：https://doi.org/10.1016/j.image.2016.03.008
