Pan et al., 2014 - Google Patents
Click-through-based subspace learning for image searchPan et al., 2014
View PDF- Document ID
- 457186137524999044
- Author
- Pan Y
- Yao T
- Tian X
- Li H
- Ngo C
- Publication year
- Publication venue
- Proceedings of the 22nd ACM international conference on Multimedia
External Links
Snippet
One of the fundamental problems in image search is to rank image documents according to a given textual query. We address two limitations of the existing image search engines in this paper. First, there is no straightforward way of comparing textual keywords with visual …
- 230000000007 visual effect 0 abstract description 16
Classifications
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- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- 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
- G06F17/3066—Query translation
- G06F17/30669—Translation of the query language, e.g. Chinese to English
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- G06—COMPUTING; CALCULATING; COUNTING
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- G06F17/3053—Query processing with adaptation to user needs using ranking
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- G06F17/30598—Clustering or classification
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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
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- G06F17/30017—Multimedia data retrieval; Retrieval of more than one type of audiovisual media
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06Q30/00—Commerce, e.g. shopping or e-commerce
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