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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Veröffentlicht in:Journal of advanced computational intelligence and intelligent informatics 2016-01, Vol.20 (1), p.106-110
Hauptverfasser: Cruz, Angelo R. Dela, Vicerra, Ryan Rhay P., Bandala, Argel A., Dadios, Elmer P.
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2016.p0106