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

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.