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

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

doi:10.1117/12.2027135

26 September 2013 Neighboring block based disparity vector derivation for multiview compatible 3D-AVC

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

Proceedings Volume 8856, Applications of Digital Image Processing XXXVI; 88560W (2013) https://doi.org/10.1117/12.2027135
Event: SPIE Optical Engineering + Applications, 2013, San Diego, California, United States

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.

Citation Download Citation

Jewon Kang, Ying Chen, Li Zhang, Xin Zhao, and Marta Karczewicz "Neighboring block based disparity vector derivation for multiview compatible 3D-AVC", Proc. SPIE 8856, Applications of Digital Image Processing XXXVI, 88560W (26 September 2013); https://doi.org/10.1117/12.2027135

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