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| Paper: | IMDSP-P3.11 |
| Session: | Robust and Scalable Coding |
| Time: | Tuesday, May 18, 15:30 - 17:30 |
| Presentation: |
Poster |
| Topic: |
Image and Multidimensional Signal Processing: Image and Video Coding |
| Title: |
A NOVEL SOURCE-CHANNEL CONSTANT DISTORTION MODEL AND ITS APPLICATION IN ERROR RESILIENT FRAME-LEVEL BIT ALLOCATION |
| Authors: |
Hua Yang; University of California, Santa Barbara | | |
| | Ligang Lu; IBM T. J. Watson Research Center | | |
| Abstract: |
Compared with either heuristic or RD optimization based approaches, frame-level bit allocation strategies based on constant quality models are inadequately studied, which, however,are inherently more capable on achieving consistent video qualityover the whole sequence for real-time single-pass rate controltasks. Moreover, no any existent models is error-resilient. Inthis paper, we propose a novel error resilient source-channelconstant distortion (SCCD) model, whose uniquely selected framecomplexity measure effectively accomodates the joint impact fromboth the non-stationary source video signal and the lossy channel. Compared with its existent counterparts, our model has a higher modelling accuracy, and can be generally applied in frame-level bit allocation to enhance error robustness of rate control. As an example, an error resilient frame-level bit allocation solution is proposed based on the model. Simulation results demonstrate that: for lossy video transmission, the proposed method can achieve more consistent and higher overall visual qualities than that of the other non-error-resilient schemes, which proves the remarkable potentials of the new model. |
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