Abstract
In this paper, we describe a multi-modal approach to segmenting news video based on the perceived shift in content. We divide up a video document into logically coherent semantic units known as stories. We investigate the effectiveness of a number of multimedia features which serve as potential indicators of a story boundary. The results show an improvement of performance over current state of the art story segmenters.
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© 2009 Indian Institute of Information Technology, India
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Poulisse, GJ., Moens, MF. (2009). Multimodal News Story Segmentation. In: Tiwary, U.S., Siddiqui, T.J., Radhakrishna, M., Tiwari, M.D. (eds) Proceedings of the First International Conference on Intelligent Human Computer Interaction. Springer, New Delhi. https://doi.org/10.1007/978-81-8489-203-1_7
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DOI: https://doi.org/10.1007/978-81-8489-203-1_7
Publisher Name: Springer, New Delhi
Print ISBN: 978-81-8489-404-2
Online ISBN: 978-81-8489-203-1
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