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