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

Computer scienceImage retrievalImage (mathematics)Relevance (law)Information retrievalRelevance feedbackContent-based image retrievalSearch engineSelection (genetic algorithm)Web pageTree (set theory)RobotData miningComputer visionArtificial intelligenceWorld Wide WebMathematics

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Publication Info

Year
1997
Type
article
Pages
2-9
Citations
301
Access
Closed

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Cite This

Stan Sclaroff, Leonid Taycher, Marco La Cascia (1997). ImageRover: a content-based image browser for the World Wide Web. , 2-9. https://doi.org/10.1109/ivl.1997.629714

Identifiers

DOI
10.1109/ivl.1997.629714