Key-frame reference selection for non-feedback video communication
| Autor: | Ce Zhu, Lei Zhang, Jim X. Chen, Tianwu Yang, Qiang Peng |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Propagation of uncertainty
Reference selection Computer Networks and Communications Transmission distortion Quantization (signal processing) Speech recognition ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Data_CODINGANDINFORMATIONTHEORY End to end distortion Peak signal-to-noise ratio Error concealment Signal Processing Key frame Algorithm Information Systems Mathematics |
| Zdroj: | The Journal of China Universities of Posts and Telecommunications. 16:92-102 |
| ISSN: | 1005-8885 |
| Popis: | This article addresses the problem of reference picture optimization in video communication over error prone networks. A novel estimation model for transmission distortion is proposed. This model is capable of recursively estimating the overall end-to-end distortion caused by quantization, error propagation, and error concealment. Simulation results show that this model can accurately estimate channel distortion. Then, based on the distortion estimation model, a new non-feedback key-frame reference picture selection (KRPS) algorithm is developed. The optimum reference picture minimizes the transmission distortion under the rate-distortion optimization framework. Extensive experiment results demonstrate that the proposed KRPS algorithm substantially achieves more peak signal to noise ratio (PSNR) gain over traditional prediction, especially in low bit-rate transmission. |
| Databáze: | OpenAIRE |
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