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Dharani et al., 2013 - Google Patents

A survey on content based image retrieval

Dharani et al., 2013

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Document ID
16617174774741567126
Author
Dharani T
Aroquiaraj I
Publication year
Publication venue
2013 International Conference on Pattern Recognition, Informatics and Mobile Engineering

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Snippet

Literature survey is most important for understanding and gaining much more knowledge about specific area of a subject. In this paper a survey on content based image retrieval presented. Content Based Image Retrieval (CBIR) is a technique which uses visual features …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30587—Details of specialised database models
    • G06F17/30595—Relational databases
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    • G—PHYSICS
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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
    • G—PHYSICS
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