Multiple Descriptions Using Sparse Decompositions

Tobias Lindstrøm Jensen, Jan Østergaard, Joachim Dahl, Søren Holdt Jensen

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Abstrakt

In this paper, we consider the design of multiple descriptions (MDs) using sparse decompositions. In a description erasure channel only a subset of the transmitted descriptions is received. The MD problem concerns the design of the descriptions such that they individually approximate the source and furthermore are able to refine each other. In this paper, we form descriptions using convex optimization with l1-norm minimization and Euclidean distortion constraints on the reconstructions and show that with this method we can obtain non-trivial descriptions. We give an algorithm based on recently developed first-order method to the proposed convex problem such that we can solve large-scale instances for image sequences.
OriginalsprogEngelsk
TidsskriftProceedings of the European Signal Processing Conference
Vol/bind2010
Sider (fra-til)110-114
ISSN2076-1465
StatusUdgivet - 2010
BegivenhedEuropean Signal Processing Conference 2010 - Aalborg, Danmark
Varighed: 23 aug. 201027 aug. 2010

Konference

KonferenceEuropean Signal Processing Conference 2010
Land/OmrådeDanmark
ByAalborg
Periode23/08/201027/08/2010

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