Abstract
As the amount of multimodal meetings data being recorded increases, so does the need for sophisticated mechanisms for accessing this data. This process is complicated by the different informational needs of users, as well as the range of data collected from meetings. This paper examines the current state of the art in meeting browsers. We examine both systems specifically designed for browsing multimodal meetings data and those designed to browse data collected from different environments, for example broadcast news and lectures. As a result of this analysis, we highlight potential directions for future research – semantic access, filtered presentation, limited display environments, browser evaluation and user requirements capture.
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Tucker, S., Whittaker, S. (2005). Accessing Multimodal Meeting Data: Systems, Problems and Possibilities. In: Bengio, S., Bourlard, H. (eds) Machine Learning for Multimodal Interaction. MLMI 2004. Lecture Notes in Computer Science, vol 3361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30568-2_1
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DOI: https://doi.org/10.1007/978-3-540-30568-2_1
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