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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1109/iaeac5...
Article . 2021 . Peer-reviewed
License: STM Policy #29
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Intra-frame fast coding algorithm for 3D-HEVC depth map based on two-dimensional entropy and variance

Authors: Wangze Yao; Hongfei Huang; ZhengXuan Wu; Hua Zhang;

Intra-frame fast coding algorithm for 3D-HEVC depth map based on two-dimensional entropy and variance

Abstract

The 3D-High Efficiency Video Coding Standard (HEVC)[1] improves the coding quality by employing multi-viewpoint and depth map coding formats. However, the 3D-HEVC algorithm has high time complexity due to the determination process of the coding unit (CU) size and the recursive rate-distortion cost calculation. To address this problem, we present a fast algorithm, which aims to reduce the time of not only deep image segmentation decision but also the powerful RD optimization. Through fast decision-making on the 3D-HEVC depth map coding unit (CU), which is based on two-dimensional entropy of image and variance, the coding efficiency is improved rapidly. The benchmark experimental on the basic database show that the coding time of the proposed algorithm is reduced by 36.7%.

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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!
2
Average
Average
Average
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