Dynamic rate allocation algorithm using adaptive LMS end-to-end distortion estimation for video transmission over error prone network

• Main Authors: Dela Cruz, Angelo R., Vicerra, Ryan Rhay P., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2016
• Subjects: Video compression; Electric interference; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2326; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3325/type/native/viewcontent
• Institution: De La Salle University

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.