Impact of Scalable Video Coding on Multimedia Provisioning

Research Article

Adaptively Optimized Error Protection for H.264 Scalable Video Coding

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  • @INPROCEEDINGS{10.1007/978-3-642-35155-6_41,
        author={Bin Zhang and Mathias Wien},
        title={Adaptively Optimized Error Protection for H.264 Scalable Video Coding},
        proceedings={Impact of Scalable Video Coding on Multimedia Provisioning},
        proceedings_a={SVCVISION},
        year={2012},
        month={12},
        keywords={SVC UEP Video Streaming},
        doi={10.1007/978-3-642-35155-6_41}
    }
    
  • Bin Zhang
    Mathias Wien
    Year: 2012
    Adaptively Optimized Error Protection for H.264 Scalable Video Coding
    SVCVISION
    Springer
    DOI: 10.1007/978-3-642-35155-6_41
Bin Zhang1,*, Mathias Wien1,*
  • 1: RWTH Aachen University
*Contact email: bzhang@ient.rwth-aachen.de, wien@ient.rwth-aachen.de

Abstract

We focus on the problem of providing robust video streaming under varying channel conditions in error-prone networks. We propose to apply unequal error protection based on priority encoding transmission scheme and Reed-Solomon codes to H.264/AVC scalable video (SVC) bit streams. We developed a fast algorithm to optimize the allocation of channel bit rate to different network abstraction layer (NAL) units on the GOP basis. To achieve this, we determined the real utility of each NAL unit in the SVC bit stream. Our simulations demonstrated the good performance of our algorithm. Good video quality can be guaranteed at the receiver side over a large range of packet loss rates by applying our algorithm to SVC bit stream. The results achieved with our fast algorithm are very close to the results obtained from time-consuming extensive search algorithm.