Neighboring block based disparity vector derivation for multiview compatible 3D-AVC

Jewon Kang, Ying Chen, Li Zhang, Xin Zhao, Marta Karczewicz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


3D-AVC being developed under Joint Collaborative Team on 3D Video Coding (JCT-3V) significantly outperforms the Multiview Video Coding plus Depth (MVC+D) which simultaneously encodes texture views and depth views with the multiview extension of H.264/AVC (MVC). However, when the 3D-AVC is configured to support multiview compatibility in which texture views are decoded without depth information, the coding performance becomes significantly degraded. The reason is that advanced coding tools incorporated into the 3D-AVC do not perform well due to the lack of a disparity vector converted from the depth information. In this paper, we propose a disparity vector derivation method utilizing only the information of texture views. Motion information of neighboring blocks is used to determine a disparity vector for a macroblock, so that the derived disparity vector is efficiently used for the coding tools in 3D-AVC. The proposed method significantly improves a coding gain of the 3D-AVC in the multiview compatible mode about 20% BD-rate saving in the coded views and 26% BD-rate saving in the synthesized views on average.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVI
StatePublished - 2013
EventApplications of Digital Image Processing XXXVI - San Diego, CA, United States
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


ConferenceApplications of Digital Image Processing XXXVI
Country/TerritoryUnited States
CitySan Diego, CA


  • 3D video coding
  • 3D-AVC
  • MVC
  • MVC+D
  • Multiview video coding
  • disparity vector deviation


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