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Proceedings Paper

Neighboring block based disparity vector derivation for multiview compatible 3D-AVC
Author(s): Jewon Kang; Ying Chen; Li Zhang; Xin Zhao; Marta Karczewicz
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Paper Abstract

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.

Paper Details

Date Published: 26 September 2013
PDF: 9 pages
Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88560W (26 September 2013); doi: 10.1117/12.2027135
Show Author Affiliations
Jewon Kang, Qualcomm Inc. (United States)
Ying Chen, Qualcomm Inc. (United States)
Li Zhang, Qualcomm Inc. (United States)
Xin Zhao, Qualcomm Inc. (United States)
Marta Karczewicz, Qualcomm Inc. (United States)


Published in SPIE Proceedings Vol. 8856:
Applications of Digital Image Processing XXXVI
Andrew G. Tescher, Editor(s)

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