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Author:

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

Indexed by:

EI Scopus SCIE

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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

Reprint Author's Address:

  • 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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Source :

JOURNAL OF REAL-TIME IMAGE PROCESSING

ISSN: 1861-8200

Year: 2019

Issue: 5

Volume: 17

Page: 1637-1646

3 . 0 0 0

JCR@2022

ESI Discipline: COMPUTER SCIENCE;

ESI HC Threshold:147

JCR Journal Grade:3

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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