Open Access Research Article

Hierarchical Fuzzy Feature Similarity Combination for Presentation Slide Retrieval

A Kushki*, M Ajmal and K N Plataniotis

Author Affiliations

Multimedia Laboratory , The Edward S. Rogers Sr. Department of Electrical and Computer Engineering, University of Toronto, Toronto, ON, Canada, M5S 3G4

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EURASIP Journal on Advances in Signal Processing 2008, 2008:547923  doi:10.1155/2008/547923


The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2008/1/547923


Received: 18 April 2008
Revisions received: 8 September 2008
Accepted: 6 November 2008
Published: 12 January 2009

© 2008 The Author(s).

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

This paper proposes a novel XML-based system for retrieval of presentation slides to address the growing data mining needs in presentation archives for educational and scholarly settings. In particular, contextual information, such as structural and formatting features, is extracted from the open format XML representation of presentation slides. In response to a textual user query, each extracted feature is used to compute a fuzzy relevance score for each slide in the database. The fuzzy scores from the various features are then combined through a hierarchical scheme to generate a single relevance score per slide. Various fusion operators and their properties are examined with respect to their effect on retrieval performance. Experimental results indicate a significant increase in retrieval performance measured in terms of precision-recall. The improvements are attributed to both the incorporation of the contextual features and the hierarchical feature combination scheme.

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