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A real-time pattern selection algorithm for very low bit-rate video coding using relevance and similarity metrics
M Paul
, M. Murshed, L. Dooley
Data Science and Engineering Research Unit
Machine Vision and Digital Health (MaViDH) Research Group
Cyber Security Research Group (CSRG)
Health Services Research Group
Computing, Mathematics and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
26
Citations (Scopus)
Overview
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Keyphrases
Low Bit-rate Video Coding
100%
Similarity Metrics
100%
Pattern Selection
100%
Real-time Patterns
100%
Relevance Metrics
100%
Selection Algorithm
100%
Macroblock
66%
Codebook
66%
Quantitative Performance
33%
Moving Regions
33%
Codebook Size
33%
Coding Efficiency
33%
Perceptual Performance
33%
Selection Time
33%
Engineering
Similarities
100%
Low Bit Rate
100%
Selection Algorithm
100%
Rate Video
100%
Metrics
100%
Macroblock
66%
Code Book
66%
Coding Efficiency
33%
Codebook Size
33%
Computer Science
Algorithm Selection
100%
Macroblock
100%
Coding Efficiency
50%