JOURNAL ARTICLE

RD Optimized, Adaptive, Error-Resilient Transmission of MJPEG2000-Coded Video over Multiple Time-Varying Channels

Scott BezanShahram Shirani

Year: 2006 Journal:   EURASIP Journal on Advances in Signal Processing Vol: 2006 (1)   Publisher: Springer Science+Business Media

Abstract

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.

Keywords:
Computer science Channel (broadcasting) Error detection and correction Coding (social sciences) Transmission (telecommunications) Network packet Algorithm Code rate Forward error correction Bit error rate Real-time computing Frame (networking) Convolutional code Decoding methods Telecommunications Mathematics Computer network Statistics

Metrics

3
Cited By
0.64
FWCI (Field Weighted Citation Impact)
25
Refs
0.65
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Algorithms and Data Compression
Physical Sciences →  Computer Science →  Artificial Intelligence

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