GOP-Based Channel Rate Allocation Using Genetic Algorithm for Scalable VideoStreaming
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GOP-Based Channel Rate Allocation Using Genetic Algorithm for Scalable Video Streaming Over Error-Prone Networks
IEEE Transactions on Image Processing, Vol. 15, No. 6

Abstract:

In this paper, we address the problem of unequal error protection (UEP) for scalable video transmission over wireless packet-erasure channel. Unequal amounts of protection are allocated to the different frames (I- or P-frame) of a group-of-pictures (GOP), and in each frame, unequal amounts of protection are allocated to the progressive bit-stream of scalable video to provide a graceful degradation of video quality as packet loss rate varies. We use a genetic algorithm (GA) to quickly get the allocation pattern, which is hard to get with other conventional methods, like hill-climbing method. Theoretical analysis and experimental results both demonstrate the advantage of the proposed algorithm.
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