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作者:

Zhang, Ruyi (Zhang, Ruyi.) | Jia, Kebin (Jia, Kebin.) (学者:贾克斌) | Liu, Pengyu (Liu, Pengyu.) | Sun, Zhonghua (Sun, Zhonghua.)

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EI Scopus SCIE

摘要:

3D-high efficiency video coding (3D-HEVC) contains more encoding viewpoints than traditional HEVC, resulting in a significant increase of coding complexity. In this paper, we propose a low complexity intra mode decision algorithm to reduce the number of intra modes by detecting the flat area and texture direction of the depth map. The corresponding intra prediction modes are skipped when the flat region condition is satisfied. Otherwise, the direction of the edge is detected to decrease the number of angle modes in rough mode decision, which can reduce the intra-coding complexity and coding time cost. Experimental results demonstrate that the proposed algorithm achieves on average 36.48% time saving with negligible degradation of coding performance.

关键词:

Depth map coding Edge detection 3D-HEVC Intra mode decision Rough mode decision (RMD)

作者机构:

  • [ 1 ] [Zhang, Ruyi]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Jia, Kebin]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Liu, Pengyu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Sun, Zhonghua]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Ruyi]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 6 ] [Jia, Kebin]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 7 ] [Liu, Pengyu]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 8 ] [Sun, Zhonghua]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

通讯作者信息:

  • 贾克斌

    [Jia, Kebin]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Jia, Kebin]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF REAL-TIME IMAGE PROCESSING

ISSN: 1861-8200

年份: 2019

期: 5

卷: 17

页码: 1637-1646

3 . 0 0 0

JCR@2022

ESI学科: COMPUTER SCIENCE;

ESI高被引阀值:147

JCR分区:3

被引次数:

WoS核心集被引频次: 6

SCOPUS被引频次: 9

ESI高被引论文在榜: 0 展开所有

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中文被引频次:

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