JOURNAL ARTICLE
MPEG-4 video error resilient tools performance evaluation and assessment
Abstract
The effectiveness of MPEG-4 video error resilience tools are presented in this paper. MPEG-4 video quality measured in average peak signal to noise ratio (APSNR) that can be achieved in different channel conditions with the use of different combinations of MPEG-4 video error resilience tools will be presented in this paper.
Keywords:
Computer science Resilience (materials science) Video quality MPEG-4 Channel (broadcasting) MPEG-2 Peak signal-to-noise ratio Error detection and correction Noise (video) Signal-to-noise ratio (imaging) Real-time computing Artificial intelligence Computer network Telecommunications Algorithm Image (mathematics) Statistics Coding (social sciences) Engineering
Metrics
3
Cited By
0.28
FWCI (Field Weighted Citation Impact)
4
Refs
0.52
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
Image and Video Quality Assessment
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Data Compression Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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