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Multiple Description Video Coding Based on Base and Enhancement Layers of SVC and Channel Adaptive Optimization

Kazemi Varnamkhasti, Mohammad | 2012

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 43145 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Haj Sadghi, Khosrow; Shirmohammadi, Shervin
  7. Abstract:
  8. Multiple distortion coding is a promising solution for video transmission over lossy channels. In MDC multiple descriptions of a source are generated which are independently decodable and mutually refinable. When all descriptions are available, the corresponding quality is called central quality; otherwise it is called side quality. Generally, there exist a trade-off between side and central quality in all MDC schemes. The MDC methods which provide better central-side quality trade-off are of more interest to the designers.In this thesis a new MDC scheme is introduced which has better trade-off between side and central quality. In other words, for the same central quality, it provides higher side quality; or equivalently for the same side quality, it has higher central quality. This method is based on the mixing of the base and enhancement layers of Coarse-Grain Scalable (CGS) coding and hence is called Mixed Layer MDC (MLMDC). At the central decoder the layers are separated and we have two-layer quality, such as in CGS decoder. At the side decoder, some descriptions are not available and hence we cannot separate the layers, directly. We propose to use estimation for this purpose. MLMDC for two-description coding and four-description coding is implemented in JM16.0, H.264/AVC reference software. The experimental results show that for videos which have high enough content (texture and motion activity), MLMDC in comparison to the conventional MDCs, provides higher side quality while they have the same central quality. In addition, when video transmission over channels with packet loss, MLMDC provides higher average video quality, in particular for four-description coding. In error prone environments, we need to have higher side quality while in less noisy conditions the higher central quality is more important. Therefore, in order to have the best quality in the different channel conditions, an optimization is needed. For this purpose, a new model for endto-end distortion is introduced which takes into account both quantization and transmission distortions for predicting the quality at the receiver side. The transmission distortion is the result of error propagation which in turn originated from the mismatch between side and central decoder outputs. The derived model is applicable for all DCT-domain MDCs. With experimental results, the model is verified first and then used for MDCs optimization. The results show the performance of the optimizer and also MLMDC higher video quality compared to that of conventional MDCs when they are designed optimally
  9. Keywords:
  10. H.264 Video Codec ; Video Content ; Packets Loss ; Multiple Description Coding ; Video Transmission ; Error Propagation ; End-to-End Distortion

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