Abstract
| Original language | English |
|---|---|
| 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 |
|---|---|
| Country | Spain |
| City | Barcelona |
| Period | 14/09/03 → 17/09/03 |
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Keywords
- influence
- channel fluctuations
- optimal
- real-time
- scalable image transmission
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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 conference › Paper
TY - CONF
T1 - Influence of channel fluctuations on optimal real-time scalable image transmission
AU - Stankovic, V.
AU - Hamzaoui, R.
AU - Saupe, D.
PY - 2003/9
Y1 - 2003/9
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.
KW - influence
KW - channel fluctuations
KW - optimal
KW - real-time
KW - scalable image transmission
U2 - 10.1109/ICIP.2003.1246903
DO - 10.1109/ICIP.2003.1246903
M3 - Paper
SP - 81
EP - 84
ER -