JOURNAL ARTICLE

Evaluation of joint source and channel coding over wireless networks

Yu‐xin LiuChristine PodilchukEdward J. Delp

Year: 2004 Journal:   2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). Vol: 5 Pages: V-764

Abstract

Transmission of digital video signals over wireless networks demands efficient compression algorithms as well as reliable coding strategies. In this project, we provide a thorough evaluation of the joint source-channel video coding methodology from two points of view: source coding design for error resilience and channel coding for error detection and recovery. We investigate the current ITU video compression standard, H.263+, for 3G wireless transmission. In particular, we concentrate on error resilient features provided within the standard and forward error correction (FEC) to find the optimal combination of various system parameters under different lossy channel conditions.

Keywords:
Computer science Forward error correction Coding (social sciences) Wireless Channel code Lossy compression Context-adaptive binary arithmetic coding Error detection and correction Coding tree unit Data compression Channel (broadcasting) Variable-length code Coding gain Joint (building) Wireless network Computer network Real-time computing Decoding methods Algorithm Telecommunications Artificial intelligence Engineering

Metrics

4
Cited By
0.67
FWCI (Field Weighted Citation Impact)
5
Refs
0.60
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Wireless Communication Techniques
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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