Srihari et al., 2000 - Google Patents
Intelligent indexing and semantic retrieval of multimodal documentsSrihari et al., 2000
View PDF- Document ID
- 4034257470927411077
- Author
- Srihari R
- Zhang Z
- Rao A
- Publication year
- Publication venue
- Information Retrieval
External Links
Snippet
Finding useful information from large multimodal document collections such as the WWW without encountering numerous false positives poses a challenge to multimedia information retrieval systems (MMIR). This research addresses the problem of finding pictures. The fact …
- 238000000034 method 0 abstract description 83
Classifications
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- G06F17/30861—Retrieval from the Internet, e.g. browsers
- G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
- G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
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