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作者:

Feng, Xiujun (Feng, Xiujun.) | Liu, Pengyu (Liu, Pengyu.)

收录:

CPCI-S

摘要:

As an emerging video codec standard for multi-view video and corresponding depth maps, three-dimensional extension of High Efficiency Video Coding (3D-HEVC) has broad application prospect. In order to make the bit-stream generated by 3D-HEVC suitable for emerging terminal devices, reducing computational complexity is necessary for downsizing resolution transcoding. This article aims to speed up 3D-HEVC transcoding. This paper proposes a fast transcoding algorithm on clipping unnecessary traversal depth level for each CTU. Experimental results show that almost 26% of computation time can be saved for the proposed transcoding algorithm with the certain increase of BDBR.

关键词:

3D-HEVC CTU depth level transcoding

作者机构:

  • [ 1 ] [Feng, Xiujun]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Pengyu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Feng, Xiujun]Beijing Lab Adv Informat Networks, Beijing 100124, Peoples R China
  • [ 4 ] [Liu, Pengyu]Beijing Lab Adv Informat Networks, Beijing 100124, Peoples R China
  • [ 5 ] [Feng, Xiujun]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Liu, Pengyu]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China
  • [ 7 ] [Feng, Xiujun]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China
  • [ 8 ] [Liu, Pengyu]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

通讯作者信息:

  • [Feng, Xiujun]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China;;[Feng, Xiujun]Beijing Lab Adv Informat Networks, Beijing 100124, Peoples R China;;[Feng, Xiujun]Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing 100124, Peoples R China;;[Feng, Xiujun]Beijing Univ Technol, Beijing Key Lab Computat Intelligence & Intellige, Beijing 100124, Peoples R China

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来源 :

2018 IEEE 3RD INTERNATIONAL CONFERENCE ON IMAGE, VISION AND COMPUTING (ICIVC)

年份: 2018

页码: 509-513

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次:

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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