DocumentCode
3349730
Title
Distortion optimized multiple channel image transmission under delay constraints
Author
Xu, Wen ; Hemami, Sheila S.
Author_Institution
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
Volume
5
fYear
2004
fDate
17-21 May 2004
Abstract
When multiple channels are aggregated into a higher bandwidth logical channel, strategic product codes can be used to protect data against both channel losses and failures. Previous work in (W. Xu et al., Proc. ICME, vol.1, p.285-288, 2003) has considered a delay-optimal partitioning scheme given pre-determined error correction codes (ECCs). In order to achieve an improved distortion performance, image bit streams can be partitioned together with an appropriate selection of ECCs based on channel conditions. This paper addresses the problem of jointly partitioning image data over multiple channels and selecting product coding rates from a finite set to minimize the decoding distortion under delay constraints. Experimental results show that the image quality degrades very slightly when the delay constraint decreases over a wide range, with a gain up to 4.5 dB achieved over that using a sequential optimization method.
Keywords
error correction codes; image coding; product codes; visual communication; ECC; channel failures; channel losses; decoding distortion minimization; delay constraints; delay-sensitive images; distortion optimized image transmission; error correction codes; high bandwidth logical channel; image bit stream partitioning; image quality; multiple channel image transmission; multiple parallel channels; product coding rates; strategic product codes; Bandwidth; Constraint optimization; Decoding; Delay; Error correction codes; Image coding; Image communication; Product codes; Protection; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1327281
Filename
1327281
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