Dynamic rate allocation algorithm using adaptive LMS end-to-end distortion estimation for video transmission over error prone network
Because of the inherent trade-off between source distortion and channel distortion in video transmission systems, joint optimization between bit-rate and distortion is still a challenging task. In this paper, we propose a method where the bit-rate allocation between source and channel encoder is con...
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| Main Authors: | , , , |
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| Format: | text |
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Animo Repository
2016
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/2326 https://animorepository.dlsu.edu.ph/context/faculty_research/article/3325/type/native/viewcontent |
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| Institution: | De La Salle University |
| Summary: | Because of the inherent trade-off between source distortion and channel distortion in video transmission systems, joint optimization between bit-rate and distortion is still a challenging task. In this paper, we propose a method where the bit-rate allocation between source and channel encoder is controlled by the estimated end-to-end distortion at the encoder. The distortion estimation scheme is based on the adaptive forward linear predictor using least-mean square (LMS) algorithm. The forward predictor used the past values of actual end-to-end distortion to estimate the current distortion. The results show good estimate of end-to-end distortion and the proposed scheme improves video quality as compared to a standard rate control of H.264/AVC. The proposed scheme dynamically allocates the source encoder bits based on the estimated distortion. |
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