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 language | English |
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Pages | 81-84 |
Number of pages | 4 |
DOIs | |
Publication status | Published - Sep 2003 |
Event | IEEE International Conference on Image Processing - Barcelona, Spain Duration: 14 Sep 2003 → 17 Sep 2003 |
Conference
Conference | IEEE International Conference on Image Processing |
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Country/Territory | Spain |
City | Barcelona |
Period | 14/09/03 → 17/09/03 |
Keywords
- influence
- channel fluctuations
- optimal
- real-time
- scalable image transmission