A probabilistic framework for TV-news stories detection and classification

IEEE International Conference on Multimedia and Expo, ICME 2005

Volumn 2005, Issue , 2005, Pages 1350-1353

  Colace, Francesco ^a   Foggia, Pasquale ^b   Percannella, Gennaro ^a  

^a UNIVERSITY OF SALERNO   (Italy)

^b UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL; MARKOV PROCESSES; MATHEMATICAL MODELS; PROBABILITY; PROBLEM SOLVING; SPEECH PROCESSING; TELECOMMUNICATION SERVICES;

AUDIO TRACKS; BAYESIAN NETWORKS; HIDDEN MARKOV MODELS; SPEECH TRANSCRIPTION;

TELEVISION BROADCASTING;

EID: 33750546862     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICME.2005.1521680     Document Type: Conference Paper

References (7)

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2. L.Chaisorn, T-S. Chua, C-H. Lee, "A multi-modal approach to story segmentation for news video", World Wide Web 6(2), pp. 187-208, 2003
3. M.R. Naphade, T.S. Huang, "A Probabilistic Framework for Semantic Video Indexing, Filtering and Retrieval", IEEE Transactions on Multimedia, Vol. 3, No. 1, pp 141-151, 2001
4. F. Jensen, "An Introduction to Bayesian Networks", Springer - Verlag, New York, 1993.
5. http://www-nlpir.nist.gov/projects/trecvid/trecvid.data.html
6. ISO/IEC JTC1/SC29/WG11/N2467, Description of MPEG-7 Content Set.
7. W. Cohen, Y. Singer, "Context Sensitive Learning Methods for Text Categorization", ACM Trans. Inform. Syst. 17, 2, 141-173, 1999.