Title:
BROWSING IMAGES VIA MINED HYPERLINKED TEXT SNIPPETS
Document Type and Number:
WIPO Patent Application WO/2015/023518
Kind Code:
A3
Abstract:
Images stored in an information repository are prepared for browsing. For each image in the repository, text in the repository is mined to extract snippets of text about the image which are semantically relevant to the image, and for each of these snippets of text, keyterms are detected in the snippet of text which represent either concepts that are related to the image or entities that are related to the image, and the snippet of text and keyterms are associated with the image. Each keyterm that is associated with each image in the repository is hyperlinked to each other image in the repository that has this keyterm associated therewith. A graphical user interface allows a user to browse the images in the repository by using their associated snippets of text and hyperlinked keyterms.
Inventors:
BAKER SIMON JOHN (US)
KANNAN ANITHA (US)
RAMNATH KRISHNAN (US)
KANNAN ANITHA (US)
RAMNATH KRISHNAN (US)
Application Number:
PCT/US2014/050252
Publication Date:
April 16, 2015
Filing Date:
August 08, 2014
Export Citation:
Assignee:
MICROSOFT CORP (US)
International Classes:
G06F17/30
Foreign References:
| US20130138636A1 | 2013-05-30 | |||
| US20080147622A1 | 2008-06-19 | |||
| US20100122092A1 | 2010-05-13 | |||
| US20110258556A1 | 2011-10-20 | |||
| US20060239515A1 | 2006-10-26 | |||
| US20100076984A1 | 2010-03-25 |
Other References:
CHEE WEE LEONG ET AL: "Text Mining for Automatic Image Tagging", 1 August 2010 (2010-08-01), XP055157363, Retrieved from the Internet
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