ImageRover: A Content-Based Image Browser for the World Wide Web
Date
1997-03-24
DOI
Authors
Sclaroff, Stan
Taycher, Leonid
La Cascia, Marco
Version
OA Version
Citation
Sclaroff, Stan; Taycher, Leonid; LaCascia, Marco. "ImageRover: A Content-Based Image Browser for the World Wide Web", Technical Report BUCS-1997-005, Computer Science Department, Boston University, March 24, 1997. [Available from: http://hdl.handle.net/2144/1606]
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.