A motion vector prediction method for multi-view video coding

  • Authors:

  • Sang Heon Lee;Sang Hwa Lee;Jeong Hyu Yang;Nam Ik Cho

  • Affiliations:

  • Seoul National University, Institute of New Media & Communication, San 56-1, Shilim-Dong, Gwanak-Gu, South Korea;Seoul National University, Institute of New Media & Communication, San 56-1, Shilim-Dong, Gwanak-Gu, South Korea;LG-Electronics DTV Lab, San 4-1, Bongcheon7-Dong, Gwanak-Gu, South Korea;Seoul National University, Institute of New Media & Communication, San 56-1, Shilim-Dong, Gwanak-Gu, South Korea

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2010

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Abstract

This paper proposes a new motion vector (MV) prediction method in multi-view video coding (MVC). In order to exploit the information in adjacent views, inter-view MVs as well as temporal MVs are used in conventional MVC. Since the inter-view MVs are usually uncorrelated with the temporal MVs and most neighboring partitions have temporal MVs only, the conventional DPCM coding gain of inter-view MV is very low and thus the inter-view MVs are seldom selected. In order to increase the probability of inter-view MV selection, we define a virtual inter-view MV which can be generated from temporal MVs. Then, an inter-view MV is predicted using these neighboring virtual inter-view MVs, leading to less prediction error than using the temporal MVs. As a result, bit-rates are decreased by up to 9% for the view-temporal prediction structure.