Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: RD Optimized, Adaptive, Error-Resilient Transmission of MJPEG2000-Coded Video over Multiple Time-Varying Channels | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article iD 79769 Pages 1-13 DOI ASP 2006 79769 RD Optimized Adaptive Error-Resilient Transmission of MJPEG2000-Coded Video over Multiple Time-Varying Channels Scott Bezan and Shahram Shirani Department of Electrical and Computer Engineering McMaster University Hamilton ON Canada L8S 4K1 Received 25 February 2005 Revised 22 August 2005 Accepted 1 September 2005 To reliably transmit video over error-prone channels the data should be both source and channel coded. When multiple channels are available for transmission the problem extends to that of partitioning the data across these channels. The condition of transmission channels however varies with time. Therefore the error protection added to the data at one instant of time may not be optimal at the next. In this paper we propose a method for adaptively adding error correction code in a rate-distortion RD optimized manner using rate-compatible punctured convolutional codes to an MJPEG2000 constant rate-coded frame of video. We perform an analysis on the rate-distortion tradeoff of each of the coding units tiles and packets in each frame and adapt the error correction code assigned to the unit taking into account the bandwidth and error characteristics of the channels. This method is applied to both single and multiple time-varying channel environments. We compare our method with a basic protection method in which data is either not transmitted transmitted with no protection or transmitted with a fixed amount of protection. Simulation results show promising performance for our proposed method. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Video data is very large in its raw form and as such requires some level of source coding compression in order to be effectively transmitted. Unfortunately many compression methods usually of the lossy variety introduce distortion in the reconstructed
