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Niblack et al., 1997 - Google Patents

Updates to the QBIC system

Niblack et al., 1997

Document ID
17560099792843176095
Author
Niblack C
Zhu X
Hafner J
Breuel T
Ponceleon D
Petkovic D
Flickner M
Upfal E
Nin S
Sull S
Dom B
Yeo B
Srinivasan S
Zivkovic D
Penner M
Publication year
Publication venue
Storage and Retrieval for Image and Video Databases VI

External Links

Snippet

QBIC TM (Query By Image Content) is a set of technologies and associated software that allows a user to search, browse, and retrieve image, graphic, and video data from large on- line collections. This paper discusses current research directions of the QBIC project such as …
Continue reading at www.spiedigitallibrary.org (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
    • 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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    • G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
    • G06F17/30023—Querying
    • G06F17/30038—Querying based on information manually generated or based on information not derived from the media content, e.g. tags, keywords, comments, usage information, user ratings
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