Vallet et al., 2010 - Google Patents
Exploiting external knowledge to improve video retrievalVallet et al., 2010
View PDF- Document ID
- 11207411684964154684
- Author
- Vallet D
- Cantador I
- Jose J
- Publication year
- Publication venue
- Proceedings of the international conference on Multimedia information retrieval
External Links
Snippet
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we study the impact of exploiting different knowledge sources in order to automatically retrieve …
- 230000000007 visual effect 0 abstract description 87
Classifications
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- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- 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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- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/30675—Query execution
- G06F17/30684—Query execution using natural language analysis
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- Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
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