1st International ICST Conference on Communications and Networking in China

Research Article

Predictive Picture Refresh Based on a Novel Shot Cut Detection Method for Video Transmission

  • @INPROCEEDINGS{10.1109/CHINACOM.2006.344825,
        author={YuHua  Ai and  Wu  Ye  and SuiLi  Feng  and  Wei  Zhou},
        title={Predictive Picture Refresh Based on a Novel Shot Cut Detection Method for Video Transmission},
        proceedings={1st International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2007},
        month={4},
        keywords={},
        doi={10.1109/CHINACOM.2006.344825}
    }
    
  • YuHua Ai
    Wu Ye
    SuiLi Feng
    Wei Zhou
    Year: 2007
    Predictive Picture Refresh Based on a Novel Shot Cut Detection Method for Video Transmission
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2006.344825
YuHua Ai1,2, Wu Ye 1, SuiLi Feng 1, Wei Zhou1
  • 1: School of Electronic and Information Engineering, South China University of Technology, Guangzhou, P.R. China
  • 2: Networking Center, NanFang hospital, Southern Medical University, Guangzhou, P.R. China

Abstract

In order to stop the error propagation and the quick of degradation of the reconstructed video quality, the traditional method is intra-frame refresh. This paper proposes a novel error-resilient method which names predictive picture refresh based on scene-context reference picture. And it also proposes a novel shot cut detection to achieve the scene-context reference picture, instead of the traditional video segmentations, such as pixel or histogram difference methods. And our shot cut detection needs less computation and is easily embedded in the H.264/AVC. When the unreliable wireless network requires high intra-frame-refresh rates, compared with the intra-frame-refresh method, our method can achieve apparent saving effect in frame bits while maintaining the similar quality