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作者:

Feng, XiuJun (Feng, XiuJun.) | Liu, PengYu (Liu, PengYu.) | Jia, KeBin (Jia, KeBin.) (学者:贾克斌)

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CPCI-S EI Scopus

摘要:

To satisfy the popularity of 3D application, 3D-HEVC has been developed as a new video encoding standard for multiviews. What's more, as the development of internet and mobile services, the use of 3D video application from the big screen to mobile devices become an inevitable trend. So an efficient transcoding for 3D videos is necessary. In 3D-HEVC, 3D video is comprised by multiview video and corresponding depth maps. The computational complexity is further increased caused by depth maps. In order to reduce the computational complexity caused by the mode decision for depth maps, an efficient fast intra mode decision for 3D-HEVC depth maps down-sizing video transcoding based on SVM (support vector machines, SVM) is proposed in this paper. Compared with the HTM16.0 which employs the original intra mode decision, the proposed algorithm can save about 16% of transcoding time without distortion of synthesized intermediate views.

关键词:

3D-HEVC Depth Modeling Mode (DMM) Down-sizing SVM Transcoding

作者机构:

  • [ 1 ] [Feng, XiuJun]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 2 ] [Liu, PengYu]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 3 ] [Jia, KeBin]Beijing Lab Adv Informat Networks, Beijing, Peoples R China
  • [ 4 ] [Feng, XiuJun]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 5 ] [Liu, PengYu]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 6 ] [Jia, KeBin]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

通讯作者信息:

  • 贾克斌

    [Feng, XiuJun]Beijing Lab Adv Informat Networks, Beijing, Peoples R China;;[Liu, PengYu]Beijing Lab Adv Informat Networks, Beijing, Peoples R China;;[Jia, KeBin]Beijing Lab Adv Informat Networks, Beijing, Peoples R China;;[Feng, XiuJun]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China;;[Liu, PengYu]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China;;[Jia, KeBin]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

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来源 :

ADVANCES IN INTELLIGENT INFORMATION HIDING AND MULTIMEDIA SIGNAL PROCESSING, PT II

ISSN: 2190-3018

年份: 2018

卷: 82

页码: 59-66

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

ESI高被引论文在榜: 0 展开所有

万方被引频次:

中文被引频次:

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