Geometry-adaptive block partitioning for intra prediction in image & video coding

被引:0
|
作者
Dai, Congxia [1 ,2 ]
Escoda, Oscar Divorra [1 ]
Yin, Peng [1 ]
Li, Xin [2 ]
Gomila, Cristina [1 ]
机构
[1] Thomson Corp Res, Princeton, NJ 08540 USA
[2] West Virginia Univ, Dept CS&EE, Morgantown, WV 26506 USA
关键词
video coding; intra prediction; H.264/AVC; geometric block partitioning; piecewise-smooth signals;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Many modem video coding strategies, such as the H.264/AVC standard, use quadtree-based partition structures for coding intra macroblocks. Such a structure allows the coding algorithm to adapt to the complicated and non-stationary nature of natural images. Despite the adaptation flexibility of quadtree partitions, recent studies have shown that these are not efficient enough (in terms of rate-distortion performance) when images can be locally modeled as 2D piecewise-smooth signals. These observations motivate us to investigate the use of geometry based block partitioning for modeling intra data in video coding. In particular, in this paper, we study in detail the use of geometry-adaptive intra models, where wedgelet like discontinuities are used in order to define separate coding regions where different statistical/waveform modeling tools can be used. In order to implement this idea, we extend the existing H.264/AVC intra coding scheme by introducing two additional geometric modes: INTRA16X16GEO, and INTRA8X8GEO. Experimental results show that significantly improved R-D performance is achieved.
引用
收藏
页码:2881 / +
页数:2
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