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GOP-based channel rate allocation using genetic algorithm for scalable video streaming over error-prone networks

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2 Author(s)
Tao Fang ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore ; Chau, L.-P.

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.

Published in:

Image Processing, IEEE Transactions on  (Volume:15 ,  Issue: 6 )