DocumentCode :
2707367
Title :
ImageRover: a content-based image browser for the World Wide Web
Author :
Sclaroff, Stan ; Taycher, Leonid ; La Cascia, Marco
Author_Institution :
Comput. Sci. Dept., Boston Univ., Boston, MA, USA
fYear :
1997
fDate :
20-20 June 1997
Firstpage :
2
Lastpage :
9
Abstract :
ImageRover is a search by image content navigation tool for the world wide web. To gather images expediently, the image collection subsystem utilizes a distributed fleet of WWW robots running on different computers. The image robots gather information about the images they find, computing the appropriate image decompositions and indices, and store this extracted information in vector form for searches based on image content. At search time, users can iteratively guide the search through the selection of relevant examples. Search performance is made efficient through the use of an approximate, optimized k-d tree algorithm. The system employs a novel relevance feedback algorithm that selects the distance metrics appropriate for a particular query.
Keywords :
Internet; content-based retrieval; image retrieval; online front-ends; relevance feedback; robots; trees (mathematics); ImageRover; WWW robots; World Wide Web; content-based image browser; image collection subsystem; image content navigation tool; image decompositions; image indices; image robots; optimized k-d tree algorithm; relevance feedback algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Content-Based Access of Image and Video Libraries, 1997. Proceedings. IEEE Workshop on
Conference_Location :
San Juan
Print_ISBN :
0-7695-0695-X
Type :
conf
DOI :
10.1109/IVL.1997.629714
Filename :
5727564
Link To Document :
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