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Wang, 2004 - Google Patents

Automatic semantic indexing in multimedia information retrieval

Wang, 2004

Document ID
12126515315719127864
Author
Wang W
Publication year

External Links

Snippet

In multimedia information retrieval, low-level features can be extracted automatically, but it is very hard to derive the high-level semantic concepts from the low-level features. The problem is called “semantic gap”. Automatic semantic indexing is an important research field …
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Classifications

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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
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    • G06F17/30619—Indexing indexing structures
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    • 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
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