JOURNAL ARTICLE

A Multiple-Substream Unequal Error-Protection and Error-Concealment Algorithm for SPIHT-Coded Video Bitstreams

Jae Joon KimR.M. MersereauY. Altunbasak

Year: 2004 Journal:   IEEE Transactions on Image Processing Vol: 13 (12)Pages: 1547-1553   Publisher: Institute of Electrical and Electronics Engineers

Abstract

This paper presents a coordinated multiple-substream unequal error-protection and error-concealment algorithm for SPIHT-coded bitstreams transmitted over lossy channels. In the proposed scheme, we divide the video sequence corresponding to a group of pictures into two subsequences and independently encode each subsequence using a three-dimensional SPIHT algorithm. We use two different partitioning schemes to generate the substreams, each of which offers some advantages under the appropriate channel condition. Each substream is protected by an FEC-based unequal error-protection algorithm, which assigns unequal forward error correction codes to each bit plane. Any information that is lost during the transmission for any substream is estimated at the receiver by using the correlation between the substreams and the smoothness of the video signal. Simulation results show that the proposed multiple-substream UEP algorithm is simple, fast, and robust in hostile network conditions, and that the proposed error-concealment algorithm can achieve 2-3-dB PSNR gain over the case when error concealment is not used at high packet-loss rates.

Keywords:
Computer science Set partitioning in hierarchical trees Computer vision Artificial intelligence Error detection and correction Algorithm Data compression Image processing Image (mathematics) Image compression

Metrics

21
Cited By
2.82
FWCI (Field Weighted Citation Impact)
16
Refs
0.91
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

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
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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