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Texture-based fast CU size decision algorithm for HEVC intra coding

Authors: Jae Myung Ha; Jong-Hyun Bae; Myung Hoon Sunwoo;

Texture-based fast CU size decision algorithm for HEVC intra coding

Abstract

This paper proposes the texture-based coding unit (CU) size decision (TBCUD) algorithm that includes texture-based block partitioning. While the existing algorithm calculates every CU size, the proposed algorithm only considers the determined CU sizes that are decided by the texture of the image. Because the prediction is performed by the prediction unit (PU) derived from CU, the proposed algorithm can reduce the encoding time by skipping the unnecessary computation. Experimental results show that the proposed algorithm can reduce the average encoding time by 47.21 % at a cost of 2.55 % bit rate increase compared to the high efficiency video coding (HEVC) Test Model (HM) 14.0.

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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!
10
Top 10%
Average
Average
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