Fast depth decision for HEVC inter prediction based on spatial and temporal correlation

Gaoxing Chen; Zhenyu Liu; Takeshi Ikenaga

doi:10.1117/12.2243812

Fast depth decision for HEVC inter prediction based on spatial and temporal correlation

Gaoxing Chen, Zhenyu Liu, Takeshi Ikenaga

Graduate School of Information, Production and Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the compression accuracy, the partition sizes ranging is from 4x4 to 64x64 in HEVC. However, the manifold partition sizes dramatically increase the encoding complexity. This paper proposes a fast depth decision based on spatial and temporal correlation. Spatial correlation utilize the code tree unit (CTU) Splitting information and temporal correlation utilize the motion vector predictor represented CTU in inter prediction to determine the maximum depth in each CTU. Experimental results show that the proposed method saves about 29.1% of the original processing time with 0.9% of BD-bitrate increase on average.

Original language	English
Title of host publication	First International Workshop on Pattern Recognition
Publisher	SPIE
Volume	10011
ISBN (Electronic)	9781510604308
DOIs	https://doi.org/10.1117/12.2243812
Publication status	Published - 2016
Event	1st International Workshop on Pattern Recognition - Tokyo, Japan Duration: 2016 May 11 → 2016 May 13

Other

Other	1st International Workshop on Pattern Recognition
Country	Japan
City	Tokyo
Period	16/5/11 → 16/5/13

Keywords

Depth decision
HEVC
Inter prediction
Spatial and temporal

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2243812

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Chen, G., Liu, Z., & Ikenaga, T. (2016). Fast depth decision for HEVC inter prediction based on spatial and temporal correlation. In First International Workshop on Pattern Recognition (Vol. 10011). [100110H] SPIE. https://doi.org/10.1117/12.2243812

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AB - High efficiency video coding (HEVC) is a video compression standard that outperforms the predecessor H.264/AVC by doubling the compression efficiency. To enhance the compression accuracy, the partition sizes ranging is from 4x4 to 64x64 in HEVC. However, the manifold partition sizes dramatically increase the encoding complexity. This paper proposes a fast depth decision based on spatial and temporal correlation. Spatial correlation utilize the code tree unit (CTU) Splitting information and temporal correlation utilize the motion vector predictor represented CTU in inter prediction to determine the maximum depth in each CTU. Experimental results show that the proposed method saves about 29.1% of the original processing time with 0.9% of BD-bitrate increase on average.

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