Query expansion using local and global document analysis
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Broadcast news navigation using story segmentation
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
Statistical Models for Text Segmentation
Machine Learning - Special issue on natural language learning
Integrated technologies for indexing spoken language
Communications of the ACM
Statistical Models in S
ECDL '97 Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
A Hidden Markov Model Approach to the Structure of Documentaries
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Feature selection for trainable multilingual broadcast news segmentation
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
DELOS'07 Proceedings of the 1st international conference on Digital libraries: research and development
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We present the design and development of a Hidden Markov Model for the division of news broadcasts into story segments. Model topology, and the textual features used, are discussed, together with the non-parametric estimation techniques that were employed for obtaining estimates for both transition and observation probabilities. Visualization methods developed for the analysis of system performance are also presented.