EFFICIENT MULTIVIEW VIDEO CODING BY OBJECT SEGMENTATION

  • Boonthep, Narasak (Department of Electronic and Telecommunication Engineering Faculty of Engineering King Mongkut's University of Technology) ;
  • Chiracharit, Werapon (Department of Electronic and Telecommunication Engineering Faculty of Engineering King Mongkut's University of Technology) ;
  • Chamnongthai, Kosin (Department of Electronic and Telecommunication Engineering Faculty of Engineering King Mongkut's University of Technology) ;
  • Ho, Yo-Sung (Gwangju Institute of Science and Technology (GIST))
  • 발행 : 2009.01.12

초록

Multi-view video consists of a set of multiple video sequences from multiple viewpoints or view directions in the same scene. It contains extremely a large amount of data and some extra information to be stored or transmitted to the user. This paper presents inter-view correlations among video objects and the background to reduce the prediction complexity while achieving a high coding efficiency in multi-view video coding. Our proposed algorism is based on object-based segmentation scheme that utilizes video object information obtained from the coded base view. This set of data help us to predict disparity vectors and motion vectors in enhancement views by employing object registration, which leads to high compression and low-complexity coding scheme for enhancement views. An experimental results show that the superiority can provide an improvement of PSNR gain 2.5.3 dB compared to the simulcast.

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