tailieunhanh - Báo cáo hóa học: " Adaptive UEP and Packet Size Assignment for Scalable Video Transmission over Burst-Error Channels"

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: Adaptive UEP and Packet Size Assignment for Scalable Video Transmission over Burst-Error Channels | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 10131 Pages 1-9 DOI ASP 2006 10131 Adaptive UEP and Packet Size Assignment for Scalable Video Transmission over Burst-Error Channels Chen-Wei Lee 1 Chu-Sing Yang 1 and Yih-Ching Su2 1 Department of Computer Science and Engineering National Sun Yat-Sen University Kaohsiung 804 Taiwan 2 Department of Information Engineering I-Shou University Kaohsiung 840 Taiwan Received 28 February 2005 Revised 14 August 2005 Accepted 12 September 2005 This work proposes an adaptive unequal error protection UEP and packet size assignment scheme for scalable video transmission over a burst-error channel. An analytic model is developed to evaluate the impact of channel bit error rate on the quality of streaming scalable video. A video transmission scheme which combines the adaptive assignment of packet size with unequal error protection to increase the end-to-end video quality is proposed. Several distinct scalable video transmission schemes over bursterror channel have been compared and the simulation results reveal that the proposed transmission schemes can react to varying channel conditions with less and smoother quality degradation. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION Bit errors and packet losses are common throughout the wired wireless Internet. They severely influence the quality of delay-sensitive multimedia applications. In the current Internet architecture the application must react to the perceived congestion in the network. The availability of simple and efficient loss models enhances the ability of applications to react. A number of studies have shown that loss patterns exhibit a finite dependence in time 1 2 . The most generalized model of quasistationary phenomena is a finite-state Markov chain. A two-state Markov model or Gilbert model 3 4 is often used to simulate burst loss patterns over a wired wireless channel .