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

Gaoxing Chen, Zhenyu Liu, Takeshi Ikenaga

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish
Title of host publicationFirst International Workshop on Pattern Recognition
PublisherSPIE
Volume10011
ISBN (Electronic)9781510604308
DOIs
Publication statusPublished - 2016
Event1st International Workshop on Pattern Recognition - Tokyo, Japan
Duration: 2016 May 112016 May 13

Other

Other1st International Workshop on Pattern Recognition
CountryJapan
CityTokyo
Period16/5/1116/5/13

Fingerprint

Temporal Correlation
Video Coding
Spatial Correlation
Image coding
High Efficiency
coding
Unit
Prediction
partitions
Compression
predictions
Partition
video compression
Video Compression
Motion Vector
Doubling
Image compression
Predictors
Encoding
Experimental Results

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

Cite this

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

Fast depth decision for HEVC inter prediction based on spatial and temporal correlation. / Chen, Gaoxing; Liu, Zhenyu; Ikenaga, Takeshi.

First International Workshop on Pattern Recognition. Vol. 10011 SPIE, 2016. 100110H.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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, 1st International Workshop on Pattern Recognition, Tokyo, Japan, 16/5/11. https://doi.org/10.1117/12.2243812
Chen G, Liu Z, Ikenaga T. Fast depth decision for HEVC inter prediction based on spatial and temporal correlation. In First International Workshop on Pattern Recognition. Vol. 10011. SPIE. 2016. 100110H https://doi.org/10.1117/12.2243812
Chen, Gaoxing ; Liu, Zhenyu ; Ikenaga, Takeshi. / Fast depth decision for HEVC inter prediction based on spatial and temporal correlation. First International Workshop on Pattern Recognition. Vol. 10011 SPIE, 2016.
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