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Fast Intra Mode Decision for HEVC

Authors: Wenjie Xiang; Canhui Cai; Zhangxin Wang; Huanqiang Zeng; Jing Chen 0001;

Fast Intra Mode Decision for HEVC

Abstract

The intra prediction in HEVC exploits the new techniques, such as the tree coding structure and up to 35 intra prediction modes, etc., to achieve high coding efficiency but incur heavy computational complexity as well. To reduce the computational complexity, a novel fast mode decision algorithm for intra prediction in HEVC is proposed in this paper. In the proposed algorithm, by using the texture characteristic of the current prediction unit (PU) and the similarity between neighboring PUs, the proposed rough and refine decision schemes are sequentially utilized to reduce the number of candidate prediction modes required for checking so that the computational complexity can be greatly saved. Experimental results have demonstrated that the proposed algorithm can reduce, on average, 25% computational complexity with negligible loss of coding efficiency, compared with the fast intra mode decision method implemented in HEVC reference software.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Top 10%
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