JOURNAL ARTICLE

Structured design of standard-compatible error-resilient video coding with application to H.263

David W. LinYen‐Lin ChenC.D. Lee

Year: 2000 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 4067 Pages: 1317-1317   Publisher: SPIE

Abstract

Many methods for video transmission error control have been proposed recently, especially in relation to transmission over bursty-error channels. However, a thorough, structural taxonomical framework for analysis and design of such methods seems lacking. Such a framework helps clarify in thought and aids in inspiring new error control methods or combinations thereof. We present a framework for classification of the various transmission error control techniques. We then consider error control for H.263. Several techniques are presented from the viewpoint of the proposed analysis framework and they illustrate how different techniques can be integrated coherently to achieve enhanced error resilience in the overall system. In particular, we employ slotted multiplexing at the multiplex level to reduce synchronization errors in variable-length coded data and to randomize the locations of the remaining error-corrupted image areas. At the source level, we introduce two standard-compatible schemes, called length- based intra refresh and motion vector pairing, respectively, which further limit spatial-temporal error propagation.

Keywords:
Computer science Error detection and correction Coding (social sciences) Propagation of uncertainty Transmission (telecommunications) Multiplexing Synchronization (alternating current) Multiple description coding Algorithm Theoretical computer science Computer engineering Real-time computing Decoding methods Computer network Mathematics Telecommunications Channel (broadcasting) Statistics

Metrics

2
Cited By
0.63
FWCI (Field Weighted Citation Impact)
17
Refs
0.70
Citation Normalized Percentile
Is in top 1%
Is in top 10%

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
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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