Publication Type

Conference Proceeding Article

Publication Date

7-2005

Abstract

This paper presents techniques in clustering the same-topic news stories according to event themes. We model the relationship of stories with textual and visual concepts under the representation of bipartite graph. The textual and visual concepts are extracted respectively from speech transcripts and keyframes. Co-clustering algorithm is employed to exploit the duality of stories and textual-visual concepts based on spectral graph partitioning. Experimental results on TRECVID-2004 corpus show that the co-clustering of news stories with textual-visual concepts is significantly better than the co-clustering with either textual or visual concept alone.

Discipline

Databases and Information Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Proceedings of 2005 IEEE International Conference on Multimedia and Expo, Amsterdam, July 6

Volume

2005

First Page

117

Last Page

120

ISBN

9780780393325

Identifier

10.1109/ICME.2005.1521374

Publisher

IEEE

City or Country

Amsterdam

Share

COinS