BOOK-CHAPTER

Resilient Video Coding via Improved Motion Compensated Prediction

Abstract

Motion compensated prediction (MCP) is at the heart of modern video compression standard because of its ability to remove temporal redundancies. However, MCP is responsible for temporal error propagation, which can result in severe quality degradation in lossy environments. In this chapter, the authors present two innovative methods of improving MCP to be more resilient to packet losses. In the first method, the motion trajectory is used to develop a novel distortion weighting technique, and the second method exploits the presence of Intra macroblocks in previously coded frames to develop increase robustness.

Keywords:
Computer science Lossy compression Motion compensation Robustness (evolution) Computer vision Artificial intelligence Coding (social sciences) Data compression Weighting Mathematics Statistics

Metrics

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FWCI (Field Weighted Citation Impact)
57
Refs
0.31
Citation Normalized Percentile
Is in top 1%
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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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