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Chang et al., 2012 - Google Patents

A novel content based image retrieval system using k-means/knn with feature extraction

Chang et al., 2012

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Document ID
6504816138823630744
Author
Chang R
Lin S
Ho J
Fann C
Wang Y
Publication year
Publication venue
Computer Science and Information Systems

External Links

Snippet

Image retrieval has been popular for several years. There are different system designs for content based image retrieval (CBIR) system. This paper propose a novel system architecture for CBIR system which combines techniques include content-based image and …
Continue reading at doiserbia.nb.rs (PDF) (other versions)

Classifications

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    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G06F17/30256—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using a combination of image content features
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    • G06F17/30259—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using shape and object relationship
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    • G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
    • G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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