Influence of channel fluctuations on optimal real-time scalable image transmission

V. Stankovic, R. Hamzaoui, D. Saupe

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

Joint source-channel coding systems using scalable source codes and forward error correction allow reliable transmission of multimedia data over noisy channels. The performance of such systems highly depends on the source-channel bit allocation strategy. Rate-based error protection schemes, which maximize the expected source rate are very attractive for real-time applications because the optimization call be done very quickly and is independent of the source. In real-world communication, charnel conditions are varying in time. Thus, it is important to frequently update the error protection. For two state-of-the-art joint source-channel coding systems, we show that a charnel mismatch call lead to a poor performance. We study theoretically and experimentally the dependency of a rate-based optimal protection oil the channel statistics and provide an efficient strategy for adjusting the error protection when a channel mismatch occurs.
Original languageEnglish
Pages81-84
Number of pages4
DOIs
Publication statusPublished - Sep 2003
Event IEEE International Conference on Image Processing - Barcelona, Spain
Duration: 14 Sep 200317 Sep 2003

Conference

Conference IEEE International Conference on Image Processing
CountrySpain
CityBarcelona
Period14/09/0317/09/03

Fingerprint

Image communication systems
Channel coding
Forward error correction
Statistics
Communication

Keywords

  • influence
  • channel fluctuations
  • optimal
  • real-time
  • scalable image transmission

Cite this

Stankovic, V., Hamzaoui, R., & Saupe, D. (2003). Influence of channel fluctuations on optimal real-time scalable image transmission. 81-84. Paper presented at IEEE International Conference on Image Processing , Barcelona, Spain. https://doi.org/10.1109/ICIP.2003.1246903
Stankovic, V. ; Hamzaoui, R. ; Saupe, D. / Influence of channel fluctuations on optimal real-time scalable image transmission. Paper presented at IEEE International Conference on Image Processing , Barcelona, Spain.4 p.
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Stankovic, V, Hamzaoui, R & Saupe, D 2003, 'Influence of channel fluctuations on optimal real-time scalable image transmission' Paper presented at IEEE International Conference on Image Processing , Barcelona, Spain, 14/09/03 - 17/09/03, pp. 81-84. https://doi.org/10.1109/ICIP.2003.1246903

Influence of channel fluctuations on optimal real-time scalable image transmission. / Stankovic, V.; Hamzaoui, R.; Saupe, D.

2003. 81-84 Paper presented at IEEE International Conference on Image Processing , Barcelona, Spain.

Research output: Contribution to conferencePaper

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N2 - Joint source-channel coding systems using scalable source codes and forward error correction allow reliable transmission of multimedia data over noisy channels. The performance of such systems highly depends on the source-channel bit allocation strategy. Rate-based error protection schemes, which maximize the expected source rate are very attractive for real-time applications because the optimization call be done very quickly and is independent of the source. In real-world communication, charnel conditions are varying in time. Thus, it is important to frequently update the error protection. For two state-of-the-art joint source-channel coding systems, we show that a charnel mismatch call lead to a poor performance. We study theoretically and experimentally the dependency of a rate-based optimal protection oil the channel statistics and provide an efficient strategy for adjusting the error protection when a channel mismatch occurs.

AB - Joint source-channel coding systems using scalable source codes and forward error correction allow reliable transmission of multimedia data over noisy channels. The performance of such systems highly depends on the source-channel bit allocation strategy. Rate-based error protection schemes, which maximize the expected source rate are very attractive for real-time applications because the optimization call be done very quickly and is independent of the source. In real-world communication, charnel conditions are varying in time. Thus, it is important to frequently update the error protection. For two state-of-the-art joint source-channel coding systems, we show that a charnel mismatch call lead to a poor performance. We study theoretically and experimentally the dependency of a rate-based optimal protection oil the channel statistics and provide an efficient strategy for adjusting the error protection when a channel mismatch occurs.

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Stankovic V, Hamzaoui R, Saupe D. Influence of channel fluctuations on optimal real-time scalable image transmission. 2003. Paper presented at IEEE International Conference on Image Processing , Barcelona, Spain. https://doi.org/10.1109/ICIP.2003.1246903