New view generation method for free-viewpoint video system

  • Authors:
  • Gangyi Jiang;Liangzhong Fan;Mei Yu;Feng Shao

  • Affiliations:
  • Faculty of Information Science and Engineering, Ningbo University, Ningbo, China;Faculty of Information Science and Engineering, Ningbo University, Ningbo, China;Faculty of Information Science and Engineering, Ningbo University, Ningbo, China;Faculty of Information Science and Engineering, Ningbo University, Ningbo, China

  • Venue:
  • WSEAS Transactions on Computers
  • Year:
  • 2008

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Abstract

View navigation is an attracted function of free viewpoint video (FVV) system. Disparity map which describes correspondence between adjacent views plays an important role in view generation. However, disparity estimation is complicated and time consuming for user side with constrained resource environment. In view of disparity compensation prediction algorithm is usually utilized at the encoder to lift up the coding efficiency, block based disparity map can be easily obtained without more extra efforts. Therefore, a framework of view generation oriented FVV system is presented in this paper, in which block based disparity map is generated and encoded with CABAC losslessly at the server side, while at the user side, the received block based disparity map is refined for view generation, and spatial correlation in block based disparity map is utilized to accelerate the generation of pixel-wise disparity map. Experimental results show that the proposed framework makes a tradeoff between the transmission cost and effort of view generation.