Color Feature Extraction
Color Feature Extraction is a feature extraction technique that specifically identifies and quantifies the distribution, intensity, and spatial arrangement of color information in digital images to represent visual content based on chromatic properties.
994
Publications
44.5K
Citations
2.8K
Authors
930
Institutions
Publications per year
2017–2026
266
Parents
994
Image indexing using color correlograms
Jing Huang, S. Ravi Kumar, Mandar Mitra et al. · 2002 · 1.7K citations · Full text
Adaptive Color Attributes for Real-Time Visual Tracking
Martin Danelljan, Fahad Shahbaz Khan, Michael Felsberg et al. · 2014 · 1.5K citations · Full text
Deep Metric Learning for Person Re-identification
Yi Dong, Zhen Lei, Shengcai Liao et al. · 2014 · 954 citations
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Chittagong University of Engineering & Technology, Bangladesh
6 publications · 193 citations
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Nanyang Technological University
Singapore, Singapore
9 h-index
20 publications
999 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
9 h-index
19 publications
1.7K citations

Shanghai Jiao Tong University
Shanghai, China
9 h-index
28 publications
1.1K citations

Democritus University of Thrace
Komotini, Greece
9 h-index
24 publications
926 citations
Tsinghua University
Beijing, China
8 h-index
19 publications
882 citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
16 publications
973 citations

Southeast University
Nanjing, China
7 h-index
26 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
7 h-index
18 publications
4.4K citations
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23 publications · 1.1K citations
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16 publications · 1.5K citations
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12 publications · 474 citations
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14 publications · 366 citations
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