A Method for Fast Rough Mode Decision in HEVC

Data Compression Conference（2013）

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摘要

In this paper we propose a fast candidate selection method in RMD step of Intra prediction. The proposed method consist of two steps, in the first step, coarser steps between the prediction directions are used as possible candidates for comparison, where the coarser step size is a function of Prediction Unit size. This way we find the dominant direction with minimum cost. In the second step, the dominant direction is refined by checking the prediction directions around the dominant direction to find the best match.

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关键词

coarser step size,dominant direction,best match,intra prediction,rmd step,coarser step,prediction unit size,fast rough mode decision,prediction direction,fast candidate selection method,optimization,rate distortion theory,data compression,rate distortion optimization,computational complexity,encoding

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