• DocumentCode
    2267824
  • Title

    Analysis of Motion Vector Predictor in Multiview Video Coding System

  • Author

    Ryu, Seungchul ; Seo, Jungdong ; Liu, Xingang ; Lee, Jin Young ; Wey, Hochen ; Sohn, Kwanghoon

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
  • fYear
    2011
  • fDate
    26-28 May 2011
  • Firstpage
    183
  • Lastpage
    188
  • Abstract
    In this paper, various motion vector predictors are analyzed and their selection method is proposed for 3D video coding. In a ubiquitous multimedia system, video compression has been expected to be an important element since an available bandwidth is very limited. In the proposed method, several motion vector predictors are competed each other with the slightly modified rate-distortion criterion. Spatial, temporal, and inter-view predictors are considered as motion vector predictors to reduce spatial, temporal, and interview redundancies, respectively. The proposed method increases the motion vector coding efficiency by selecting the best motion vector predictor among them. Accordingly, overall bit rates are reduced by 5.2 % in average, up to 6.1 %compared to reference software JMVC 6.0 in terms of the Bjontegaard Metric.
  • Keywords
    data compression; image motion analysis; multimedia systems; ubiquitous computing; vectors; video coding; 3D video coding; Bjontegaard Metric; bit rates; inter-view redundancies; motion vector predictor analysis; multiview video coding system; slightly modified rate-distortion criterion; ubiquitous multimedia system; video compression; Bit rate; Encoding; Indexes; Mathematical model; Rate-distortion; Three dimensional displays; Video coding; 3D video coding; competition; motion vector predictor; multiview video; ubiquitous multimedia;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel and Distributed Processing with Applications Workshops (ISPAW), 2011 Ninth IEEE International Symposium on
  • Conference_Location
    Busan
  • Print_ISBN
    978-1-4577-0524-3
  • Electronic_ISBN
    978-0-7695-4429-8
  • Type

    conf

  • DOI
    10.1109/ISPAW.2011.17
  • Filename
    5951971