Jump to : Download | Abstract | Contact | BibTex reference | EndNote reference |


Dong-Qing Zhang, Ching-Yung Lin, Shih-Fu Chang, John R. Smith. Semantic Video Clustering Across Sources Using Bipartite Spectral Clustering. In IEEE International Conference On Multimedia and Expo (ICME), Taipei, Taiwan, June 2004.

Download [help]

Download paper: Adobe portable document (pdf)

Copyright notice:This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.


Data clustering is an important technique for visual data management. Most previous work focuses on clustering video data within single sources. In this paper, we address the problem of clustering across sources, and propose novel spectral clustering algorithms for multisource clustering problems. Spectral clustering is a new discriminative method realizing clustering by partitioning data graphs. We represent multi-source data as bipartite or K-partite graphs, and investigate the spectral clustering algorithm under these representations. The algorithms are evaluated using TRECVID-2003 corpus with semantic features extracted from speech transcripts and visual concept recognition results from videos. The experiments show that the proposed bipartite clustering algorithm significantly outperforms the regular spectral clustering algorithm to capture cross-source associations


Dongqing Zhang
Ching-Yung Lin
Shih-Fu Chang
John_R. Smith

BibTex Reference

   Author = {Zhang, Dong-Qing and Lin, Ching-Yung and Chang, Shih-Fu and Smith, John R.},
   Title = {Semantic Video Clustering Across Sources Using Bipartite Spectral Clustering},
   BookTitle = {IEEE International Conference On Multimedia and Expo (ICME)},
   Address = {Taipei, Taiwan},
   Month = {June},
   Year = {2004}

EndNote Reference [help]

Get EndNote Reference (.ref)


For problems or questions regarding this web site contact The Web Master.

This document was translated automatically from BibTEX by bib2html (Copyright 2003 © Eric Marchand, INRIA, Vista Project).