JOURNAL ARTICLE

Error resilient video coding via weighted distortion

Abstract

Conventional rate-distortion (RD) optimized video coding is formulated for an error-free environment. Special considerations have to be made when transmitting video in lossy networks. In this paper we demonstrate a novel method of weighting the distortion used for mode decisions and motion estimation in H.264. By determining an appropriate weighting factor, motion vectors are biased towards macroblocks (MB) that have less influence on the motion propagation path and mode decisions are made considering a MB's future impact. We therefore propose tracking the influence that each macroblock has along the motion propagation path to determine the weights. Considerable performance improvements are unveiled in comparison with state of the art robust video schemes.

Keywords:
Macroblock Computer science Weighting Coding (social sciences) Motion estimation Computer vision Distortion (music) Rate–distortion optimization Lossy compression Artificial intelligence Rate–distortion theory Path (computing) Algorithm Motion compensation Propagation of uncertainty Coding tree unit Block-matching algorithm Data compression Video tracking Video processing Decoding methods Mathematics Telecommunications Statistics

Metrics

2
Cited By
0.35
FWCI (Field Weighted Citation Impact)
8
Refs
0.64
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 Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image and Video Quality Assessment
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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