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Estimation of accurate effective loss rate for FEC video transmission
Affiliation:1. Division of Computer and Telecommunications Engineering, Yonsei University, Gangwon 220-710, Republic of Korea;2. Samsung Electronics Corporation, Gyeonggi 443-803, Republic of Korea;3. Department of Information and Communication Engineering, Hanbat National University, Daejeon 305-719, Republic of Korea;4. Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA;1. University of Science and Technology of China, Hefei, China;2. Microsoft Research Asia (MSRA), Beijing, China;1. Control and Computer Engineering Department, Politecnico di Torino, corso Duca degli Abruzzi 24, 10129 Torino, Italy;2. College of Electronics and Information Engineering, Sichuan University, No. 24 South Section 1, Yihuan Road, 610065 Chengdu, China;1. Institute of Digital Media and Communication, Taiyuan University of Science and Technology, No. 66 Waliu Rd., 030024 Taiyuan, China;2. Department of Information Engineering and Computer Science, Feng Chia University, No. 100 Wenhwa Rd., Seatwen, Taichung 40724, Taiwan;3. Department of Computer Science and Information Engineering, Asia University, No. 500 Lioufeng Rd., Wufeng, Taichung 41354, Taiwan
Abstract:We propose an algorithm for adjusting data transmission parameters, such as the packet size and the code rate of forward error correction (FEC), to obtain maximum video quality under dynamic channel conditions. When determining transmission parameters, it is essential to calculate an accurate effective loss rate that reflects FEC recovery failures and over-deadline packets. To this end, we analyze the delays caused by FEC coding and the potential packet size variations. In our analysis, we consider the effect of delayed transmission of video packets incurred by the parity packets as well as the encoder and decoder buffers. With the analysis reflecting the delay effect, we are able to accurately estimate the delay patterns of all video packets. Based on the analysis results, we establish an accurate model for estimating the effective loss rate. Simulations show that the proposed effective loss rate model accurately estimates the effective loss rate and significantly improves the reconstructed video quality at the receiver.
Keywords:Effective loss rate  Forward error correction (FEC)  FEC video transmission  Error protection
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