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Gudivada, 2010 - Google Patents

Relevance feedback in content-based image retrieval

Gudivada, 2010

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Document ID
9299656211777907456
Author
Gudivada V
Publication year
Publication venue
International Journal of Computer Science and Engineering

External Links

Snippet

Abstract Content-Based Image Retrieval (CBIR) systems are required to effectively harness information from ubiquitous image collections. Despite intense research efforts by the multidisciplinary CBIR community since early 1990s, apparently there is a mismatch …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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