Selective FEC for error-resilient image coding and transmission using similarity check functions

This paper introduces the concept of similarity check functions that measure the degree of corruption in transmitted multimedia data packets. Rather than directly discarding or directly retransmitting erroneous packets, the degree of corruption contributed by a particular packet is measured by a sim...

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Bibliographic Details
Published in:2004 International Conference on Image Processing Vol. 5; pp. 3217 - 3220 Vol. 5
Main Authors: Lam, T.-T., Karam, L.J., Bazzi, R.A., Abousleman, G.P.
Format: Conference Proceeding
Language:English
Published: Piscataway NJ IEEE 2004
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ISBN:0780385543, 9780780385542
ISSN:1522-4880
Online Access:Get full text
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Summary:This paper introduces the concept of similarity check functions that measure the degree of corruption in transmitted multimedia data packets. Rather than directly discarding or directly retransmitting erroneous packets, the degree of corruption contributed by a particular packet is measured by a similarity check function at the receiver, which does not require explicit knowledge of the source data. Accordingly, if the packet is found to be badly corrupted based on a specified similarity criteria, it can be considered as a lost packet and recovered using forward error correcting codes or retransmission. An example of a similarity check function design and a selective forward error correction (S-FEC) scheme that allocates channel protection bits only to those packets that are in most need of correction, is presented to illustrate the proposed concept.
ISBN:0780385543
9780780385542
ISSN:1522-4880
DOI:10.1109/ICIP.2004.1421798