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ur Rehman et al., 2019 - Google Patents

Learning a semantic space for modeling images, tags and feelings in cross-media search

ur Rehman et al., 2019

Document ID
13927467173381148441
Author
ur Rehman S
Huang Y
Tu S
Ahmad B
Publication year
Publication venue
Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2019 Workshops, BDM, DLKT, LDRC, PAISI, WeL, Macau, China, April 14–17, 2019, Revised Selected Papers 23

External Links

Snippet

This paper contributes a new, real-world web image dataset for cross-media retrieval called FB5K. The proposed FB5K dataset contains the following attributes:(1) 5130 images crawled from Facebook;(2) images that are categorized according to users' feelings;(3) images …
Continue reading at link.springer.com (other versions)

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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    • G06F17/30244—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
    • G—PHYSICS
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