6533b871fe1ef96bd12d0fc4

RESEARCH PRODUCT

ImageRover: A Content-Based Image Browser for the World Wide Web

Stan SclaroffM. La CasciaL. Taycher

subject

CBIRInformation retrievalDistributed databasebusiness.industryComputer scienceSearch engine indexingRelevance feedbackcomputer.software_genreWorld Wide WebInformation extractionTree (data structure)RobotThe InternetbusinessImage retrievalcomputer

description

ImageRover is a search-by-image-content navigation tool for the World Wide Web (WWW). 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 that are appropriate for a particular query

http://hdl.handle.net/10447/38591