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

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

Journal of Advanced Computational Intelligence and Intelligent Informatics

Volume

20

Issue

1

First Page

106

Last Page

110

Publication Date

1-1-2016

Abstract

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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Digitial Object Identifier (DOI)

10.20965/jaciii.2016.p0106

Disciplines

Electrical and Electronics

Keywords

Video compression; Electric interference

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