Feature selection for trainable multilingual broadcast news segmentation

HLT-NAACL 2004 - Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, Short Papers

Volumn , Issue , 2004, Pages 89-92

  Palmer, David D ^a   Reichman, Marc ^a   Yaich, Elyes ^a  

^a Virage Advanced Technology Group   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AUDIO FEATURES; AUTOMATIC DETECTION; BROADCAST NEWS; FEATURES SELECTION; IMAGE FEATURES; LANGUAGE FEATURES; MULTIMODAL FEATURES; NEWS SEGMENTATION; NEWS STORY SEGMENTATION; VIDEO FEATURES;

IMAGE SEGMENTATION;

EID: 79959827991     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

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3. B. Furht, S. Smoliar, and H. Zhang, Video and Image Processing in Multimedia Systems, Kluwer Academic Publishers, 1995.
4. W. Greiff, A. Morgan, R. Fish, M. Richards, A. Kundu, “Fine-Grained Hidden Markov Modeling for Broadcast-News Story Segmentation,” Proceeding of First International Conference on Human Language Technology Research (HLT 2001).
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6. W. Hsu, S. Chang,”A Statistical Framework for Fusing Mid-level Perceptual Features in News Story Segmentation,” IEEE International Conference on Multimedia and Expo (ICME) 2003.
7. Linguistic Data Consortium, TDT2 Segmentation Annotation Guide, 1999. http://www.ldc.upenn.edu/Projects/TDT2/
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9. N. O’Connor; C. Czirjek; S. Deasy; S. Marlow; N. Murphy; A. Smeaton, “News Story Segmentation in the Fischlar Video Indexing System,” Proceedings of IEEE International Conference on Image Processing (ICIP-2001), Thessaloniki Greece.