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Mistry et al., 2013 - Google Patents

Survey on content based image retrieval systems

Mistry et al., 2013

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Document ID
2748250663475887853
Author
Mistry Y
Ingole D
Publication year
Publication venue
International Journal of Innovative Research in Computer and Communication Engineering

External Links

Snippet

As image collections are growing at a rapid rate, demand for efficient and effective tools for retrieval of query images from database is increased significantly. Among them, content- based image retrieval systems (CBIR) have become very popular for browsing, searching …
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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
    • G06F17/3025—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
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    • 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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    • G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
    • G06K9/46—Extraction of features or characteristics of the image
    • G06K9/4652—Extraction of features or characteristics of the image related to colour
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    • G06K9/46—Extraction of features or characteristics of the image
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    • G06K9/527—Scale-space domain transformation, e.g. with wavelet analysis
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