Thematic segmentation of meetings through document/speech alignment

ACM Multimedia 2004 - proceedings of the 12th ACM International Conference on Multimedia

Volumn , Issue , 2004, Pages 804-811

  Mekhaldi, Dalila ^a   Lalanne, Denis ^a   Ingold, Rolf ^a  

^a DIVA   (Switzerland)

Author keywords

Clustering techniques; Document analysis; Meeting dialogs structuring; Multimedia information retrieval; Multimodal thematic alignment; Thematic segmentation

Indexed keywords

CAMERAS; INFORMATION RETRIEVAL; MATHEMATICAL MODELS; NATURAL FREQUENCIES; PROGRAM DOCUMENTATION; SPEECH ANALYSIS; SYNCHRONIZATION;

CLUSTERING TECHNIQUES; DOCUMENT ANALYSIS; MEETING DIALOGS STRCTURING; MULTIMEDIA INFORMATION RETRIEVAL; MULTIMODAL THEMATIC ALIGNMENT; THEMATIC ALIGNMENT; THEMATIC SEGMENTATION;

MULTIMEDIA SYSTEMS;

EID: 13444291125     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1027527.1027714     Document Type: Conference Paper

References (18)

1. Beeferman D., Berger A., Lafferty J., Statistical Models for Text Segmentation, Machine Learning, Vol. 34, No1/3, 1999, pp. 177-210.
2. Ding C., He X., Zha H., Gu M. and Simon H., A Min-max Cut Algorithm for Graph Partitioning and Data Clustering, IEEE International Conference on Data Mining, California 2001, pp. 107-114.
3. Ferret O., Grau B. and Masson N., Thematic Segmentation of Texts: Two Methods for Two Kinds of Text, 36th Annual Meeting of the Association for Computational Linguistics and 17th International Conference on Computational Linguistics, Canada 1998, pp.392-396.
4. Golumbic M.C., Algorithmic Graph Theory and Perfect Graphs Second Edition, Edition Hardcover, Publisher Academic Press 1997, ISBN: 0-444-51530-5
5. Hadjar K., Rigamonti M., Lalanne D. and Ingold R., Xed: a new tool for extracting hidden structures from Electronic Documents, Palo Alto, California January 2004, pp.212-224.
6. Hearst M., Multi-Paragraph Segmentation of Expository Text, In Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, Las Cruces, New Mexico 1994, pp.9-16.
7. Jain A., Dubes R., Algorithms for Clustering Data, Edition Hardcover, Publisher Prentice Hall College Div, ISBN 013022278X, 1988.
8. Kehagias A., Pavlina F. and Petridis V., Linear Text Segmentation using a Dynamic Programming Algorithm, Proceedings of 10th Conference of the European Chapter of the Association for Computational Linguistics 2003, pp.171-178.
9. Lalanne D., Mekhaldi D. and Ingold R., Talking about documents: revealing a missing link to multimedia meeting archives, Document Recognition and Retrieval XI, IS\&T/SPIE's International Symposium on Electronic Imaging, USA, 2004, pp.82-91.
10. Lalanne, D., Ingold, R., von Rotz, D., Behera, A., Mekhaldi, D., Popescu-Belis, A. (in press) - "Using static documents as structured and thematic interfaces to multimedia meeting archives". In Bourlard H. & Bengio S., eds. (2004), Multimodal Interaction and Related Machine Learning Algorithms, LNCS, Springer-Verlag, Berlin, 8 p.
11. Looney C., Interactive clustering and merging with a new fuzzy expected value, Pattern Recognition, Vol. 35, No11,August 2002, pp.2413-2423.
12. McQueen, J., Some methods for classification and analysis of multivariate observations, Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability 1967, pp.281-297.
13. Mekhaldi D., Lalanne D. and Ingold R., Thematic Alignment Of Recorded Speech With Documents, Proceedings of the ACM symposium on Document engineering, France 2003, pp.52-54.
14. Pevzner L. and Marti Hearst, A Critique and Improvement of an Evaluation Metric for Text Segmentation, Computational Linguistics, Vol.28, No1, 2002, pp.19-36.
15. Perner P., Data Mining on Multimedia Data, Edition & publisher Springer Verlag 2002, ISBN: 3-540-00317-7.
16. Salton G., Singhal A., Buckley C. and Mitra M., Automatic Text Decomposition Using Text Segments and Text Themes. In Proceedings of the Hypertext '96 Conference, USA, pp.53-65.
17. Xie X.L., Beni G., A validity measure for fuzzy clustering, IEEE Transactions on Pattern Analysis and machine Intelligence, Vol. 13, No4, August 1991, pp.841-847.
18. Zhao Y. and Karypis G., Criterion Functions for Document Clustering, University of Minnesota, Technical Report, February 2002.