TR2014-055

View Synthesis Prediction in the 3D Video Coding Extensions of AVC and HEVC


    •  Zou, F.; Tian, D.; Vetro, A.; Sun, H.; Au, O.C.; Shimizu, S., "View Synthesis Prediction in the 3D Video Coding Extensions of AVC and HEVC", IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2014.2313891, ISSN: 1051-8215, Vol. PP, No. 99, pp. 1, March 2014.
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      • @article{Zou2014mar,
      • author = {Zou, F. and Tian, D. and Vetro, A. and Sun, H. and Au, O.C. and Shimizu, S.},
      • title = {View Synthesis Prediction in the 3D Video Coding Extensions of AVC and HEVC},
      • journal = {IEEE Transactions on Circuits and Systems for Video Technology},
      • year = 2014,
      • volume = {PP},
      • number = 99,
      • pages = 1,
      • month = mar,
      • publisher = {IEEE},
      • doi = {10.1109/TCSVT.2014.2313891},
      • issn = {1051-8215},
      • url = {http://www.merl.com/publications/TR2014-055}
      • }
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  • Research Areas:

    Digital Video, Multimedia


Advanced multiview video systems are able to generate intermediate viewpoints of a 3D scene. To enable low complexity free view generation, texture and its associated depth are used as input data for each viewpoint. To improve the coding efficiency of such content, view synthesis prediction (VSP) is proposed to further reduce inter-view redundancy in addition to traditional disparity compensated prediction (DCP). This paper describes and analyzes rate-distortion optimized VSP designs, which were adopted in the 3D extensions of both AVC and HEVC. In particular, we propose a novel backward-VSP scheme using a derived disparity vector, as well as efficient signaling methods in the context of AVC and HEVC. Additionally, we put forward a novel depth-assisted motion vector prediction method to optimize the coding efficiency. A thorough analysis of coding performance is provided using different VSP schemes and configurations. Experimental results demonstrate average bit rate reductions of 2.5% and 1.2% in AVC and HEVC coding frameworks, respectively, with up to 23.1% bit rate reduction for dependent views.