Shah et al., 2007 - Google Patents
Automatic and semi-automatic techniques for image annotationShah et al., 2007
- Document ID
- 14294620223839081134
- Author
- Shah B
- Benton R
- Wu Z
- Raghavan V
- Publication year
- Publication venue
- Semantic-based visual information retrieval
External Links
Snippet
When retrieving images, users may find it easier to express the desired semantic content with keywords than visual features. Accurate keyword retrieval can only occur when images are completely and accurately described. This can be achieved either through laborious …
- 238000000034 method 0 title description 31
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- G—PHYSICS
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- G06F17/30613—Indexing
- G06F17/30619—Indexing indexing structures
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- G—PHYSICS
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- G06F17/30705—Clustering or classification
- G06F17/3071—Clustering or classification including class or cluster creation or modification
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- G—PHYSICS
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- 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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- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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- G—PHYSICS
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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
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- G—PHYSICS
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- G—PHYSICS
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