LOSSLESS VIDEO CODING BASED ON PROBABILITY MODEL OPTIMIZATION WITH IMPROVED ADAPTIVE PREDICTION

被引：1
|
作者：
Unno, Kyohei [1 ,2 ]
Kameda, Yusuke [2 ]
Kita, Yasuyo [2 ]
Matsuda, Ichiro [2 ]
Itoh, Susumu [2 ]
Kawamura, Kei [1 ]
机构：
[1] KDDI Res Inc, 2-1-15 Ohara, Fujimino, Saitama 3568502, Japan
[2] Tokyo Univ Sci, Fac Sci & Technol, Tokyo, Japan
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2021年
关键词：
Lossless coding; example search; adaptive prediction; probability modeling; quasi-Newton method;
D O I：
10.1109/ICIP42928.2021.9506107
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
We previously proposed a novel lossless coding method that utilizes example search and adaptive prediction within a framework of probability model optimization for monochrome video. In this paper, we improve the adaptive prediction in terms of coding performance and processing time. More precisely, we made modifications to the following three items: (a) reference pel arrangements, (b) motion vector derivation, and (c) optimal selection of predictors. Experimental results show that the proposed method certainly improves the coding performance and the processing time compared to our previous method, and achieves better coding performance than the VVC-based lossless video coding scheme.
引用
收藏
页码：2044 / 2048
页数：5
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