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Local optimization of index assignments for multiple description coding

par Cardinal, Jean ;Elloumit, Sourour;Labbé, Martine
Référence European Signal Processing Conference, 2015-March, 7072007
Publication Publié, 2015-03

Article révisé par les pairs

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Résumé :

Index assignment problems are central to many joint source-channel coding methods and generally require a lot of computational power. We study the optimization of index assignment matrices for the multiple description coding problem. Index assignment matrices are used at the quantization step and provide a conceptually simple and fast alternative to multiply descriptive transform methods. We describe two novel local optimization algorithms using a bipartite matching procedure to locally minimize the expected mean squared error. We provide experimental results on various codebooks as well as a comparison with a previously published optimization algorithm.