RF*IPF: A Weighting Scheme for Multimedia Information Retrieval

James Z. Wang, Yanping Du
The Pennsylvania State University
Abstract:

Region-based approach has become a popular research trend in the field of multimedia database retrieval. In this paper, we present the Region Frequency and Inverse Picture Frequency (RF*IPF) weighting, a measure developed to unify region-based multimedia retrieval systems with text-based information retrieval systems. The weighting measure gives the highest weight to regions that occur often in a small number of images in the database. These regions are considered discriminators. With this weighting measure, we can blend image retrieval techniques with TF*IDF-based text retrieval techniques for large-scale Web applications. The RF*IPF weighting has been implemented as a part of our experimental SIMPLIcity image retrieval system and tested on a database of about 200,000 general-purpose images. Experiments have shown that this technique is effective in discriminating images of different semantics. Additionally, the overall similarity approach enables a simple querying interface for multimedia information retrieval systems.


Full Paper in Color
(PDF, 178KB)
(PostScript, 412KB)

On-line Demo


Citation: James Z. Wang and Yanping Du, ``RF*IPF: A Weighting Scheme for Multimedia Information Retrieval,'' Proc. IEEE International Conference on Image Analysis and Processing (ICIAP), pp. 380-385, Palermo, Italy, IEEE, 2001.

Copyright 2001 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE.

Last Modified: May 5 2001
2001