DocumentCode :
2207517
Title :
Visual websearching using iconic queries
Author :
Lew, Michael S. ; Sebe, Nicu
Author_Institution :
Inst. of Adv. Comput. Sci., Leiden Univ., Netherlands
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
788
Abstract :
Imagine a professional Web site designer who constantly has to come up with innovative looks for the client´s homepages? How does he find the new content? The major search engines such as Hotbot (http://www.hotbot.com) allow us to find text on the Web, but typically have few or no capabilities for finding visual media. In this article we discuss methods for finding visual media on the WWW. The emphasis is on iconic queries which are essentially drag-and-drop visual concepts or simple semantics. We describe our method for finding static feature sets and then describe a novel method called active feature sets, which chooses a feature set based on the context in the image
Keywords :
image matching; query processing; active feature sets; iconic queries; visual matching; visual media; visual websearching; Computer science; Computer vision; Humans; Identity-based encryption; Image coding; Image databases; Read only memory; Shape measurement; Video compression; World Wide Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.854959
Filename :
854959
Link To Document :
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