Multiple-reference frames enhanced weighted boundary matching error concealment algorithm based on H.264/AVC

Hong Wang; Wei Liao

doi:10.1117/12.749491

14 November 2007 Multiple-reference frames enhanced weighted boundary matching error concealment algorithm based on H.264/AVC

Hong Wang, Wei Liao

Author Affiliations +

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904O (2007) https://doi.org/10.1117/12.749491
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

To overcome the problem that the video information packet lost occasionally when the video stream transfers in the low dependable channel, it is absolutely necessary to adopt effective error control technique to recover the false video signal. According to the multiple-reference frames characteristic of H.264/AVC, this paper improves the traditional boundary matching algorithm and proposes a multiple-reference frames enhanced weighted boundary matching error concealment algorithm. The simulation experiments show that the proposed algorithm improves the limitations of the traditional temporal error concealment and decreases the matching distortion contrasting normal single-reference frame boundary matching algorithm at the condition of strong movement and video scenes switching. Therefore more exact motion vector would be obtained to restrain the diffusion of video error effectively. Moreover, the improved algorithm run on decoder end, without any changes of H.264 video stream structure and extra burden in transport channel, and has wide adaptability in multiple media transmission.

Citation Download Citation

Hong Wang and Wei Liao "Multiple-reference frames enhanced weighted boundary matching error concealment algorithm based on H.264/AVC", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904O (14 November 2007); https://doi.org/10.1117/12.749491

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KEYWORDS

Error analysis

Video

Image quality

Computer programming

Image enhancement

Diffusion

Image processing

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