| Paper: | SPCOM-P1.3 | ||
| Session: | Coding and Compression | ||
| Time: | Tuesday, May 16, 10:30 - 12:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing for Communication: Joint source-channel coding and quantization, iterative decoding algorithms | ||
| Title: | Joint Source-Channel Distortion Modelling for MPEG-4 Video | ||
| Authors: | Muhammad Sabir, Robert Heath, Alan Bovik, University of Texas, Austin, United States | ||
| Abstract: | Joint source-channel coding is becoming more important for wireless multimedia transmission due to high bandwidth requirements of these multimedia sources. Design of all joint source-channel coding schemes require an estimate of distortion at different source coding rates and under different channel conditions. In this paper, we present one such distortion model for estimating distortion due to quantization and channel errors in a joint manner for {MPEG-4} compressed video streams. This model takes into account important aspects of video compression such as transform coding, motion compensation, and variable length coding. Results show that our model estimates distortion within 1 dB of actual simulation values in terms of peak-signal-to-noise-ratio. | ||
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