ImageRover Home Page

ImageRover is an experimental world wide web image search tool. The technical challenges associated with the ImageRover project are to deal with the staggering scale of the world wide web and to develop effective image representations for very fast search based on image content.

The ImageRover system combines textual and visual statistics in a single index for content-based search of a WWW image database. Textual statistics are captured in vector form using latent semantic indexing (LSI) based on text in the containing HTML document. Visual statistics are captured in vector form using color and orientation histograms. To initiate a search of the ImageRover index, the user specifies a few keywords describing the desired images. The user can then refine this initial query through relevance feedback. During relevance feedback, both visual and textual cues are combined to gain better search performance.

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© 1996-1998 Image and Video Computing Group - Boston University
Last Modified: April 20, 1998