Image Digestion and Relevance Feedback in the ImageRover WWW Search Engine
Date
1997-08-14
DOI
Authors
Taycher, Leonid
La Cascia, Marco
Sclaroff, Stan
Version
OA Version
Citation
Taycher, Leonid; La Cascia, Marco; Sclaroff, Stan. "Image Digestion and Relevance Feedback in the ImageRover WWW Search Engine", Technical Report BUCS-1997-014, Computer Science Department, Boston University, August 14, 1997. [Available from: http://hdl.handle.net/2144/1615]
Abstract
ImageRover is a search by image content navigation tool for the world wide web. The staggering size of the WWW dictates certain strategies and algorithms for image collection, digestion, indexing, and user interface. This paper describes two key components of the ImageRover strategy: image digestion and relevance feedback. Image digestion occurs during image collection; robots digest the images they find, computing image decompositions and indices, and storing this extracted information in vector form for searches based on image content. Relevance feedback occurs during index search; users can iteratively guide the search through the selection of relevant examples. ImageRover employs a novel relevance feedback algorithm to determine the weighted combination of image similarity metrics appropriate for a particular query. ImageRover is available and running on the web site.