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Di Sciascio et al., 1997 - Google Patents

Similarity evaluation in image retrieval using simple features

Di Sciascio et al., 1997

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Document ID
372050775810331035
Author
Di Sciascio E
Celentano A
Publication year
Publication venue
Storage and Retrieval for Image and Video Databases V

External Links

Snippet

The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retrieval methods based on image content promise good results, are currently widely …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30244Information retrieval; Database structures therefor; File system structures therefor in image databases
    • G06F17/30247Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
    • G06F17/3025Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data using colour
    • GPHYSICS
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    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784Information 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
    • G06F17/30799Information 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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    • G06F17/30256Information 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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    • G06F17/30259Information 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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    • G06F17/30613Indexing
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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30286Information retrieval; Database structures therefor; File system structures therefor in structured data stores
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10TECHNICAL SUBJECTS COVERED BY FORMER USPC
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    • Y10S707/99931Database or file accessing
    • Y10S707/99933Query processing, i.e. searching
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