JOURNAL ARTICLE
Bayesian relevance feedback for content-based image retrieval
Year: 2004 Journal: Pattern Recognition Vol: 37 (7)Pages: 1499-1508 Publisher: Elsevier BV
Keywords:
Relevance feedback Computer science Image retrieval Relevance (law) Content-based image retrieval Information retrieval Semantic gap Neighbourhood (mathematics) Feature (linguistics) Bayesian probability Set (abstract data type) Similarity (geometry) Image (mathematics) Artificial intelligence Representation (politics) Pattern recognition (psychology) Data mining Mathematics
Metrics
68
Cited By
3.33
FWCI (Field Weighted Citation Impact)
29
Refs
0.93
Citation Normalized Percentile
Is in top 1%
Is in top 10%
Citation History
Topics
Image Retrieval and Classification Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences → Computer Science → Computer Vision and Pattern Recognition
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BOOK-CHAPTER
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