Abstract
ASSAVID is an EU-sponsored project which is concerned with the development of a system for the automatic segmentation and semantic annotation of sports video material. In this paper we describe the architecture for a system that automatically creates high-level textual annotation for this material, to create a fully automatic sports video logging process.
The proposed technique relies upon the concept of “cues” which attach semantic meaning to low-level features computed on the video and audio. Experimentalresul ts on sports video provided by the BBC demonstrate that this method is working well. The system merges and synchronises severalstreams of cues derived from the video and audio sources, where each stream may have a different latency.
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© 2003 Springer-Verlag Berlin Heidelberg
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Christmas, W., Jaser, E., Messer, K., Kittler, J. (2003). A Multimedia System Architecture for Automatic Annotation of Sports Videos. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds) Computer Vision Systems. ICVS 2003. Lecture Notes in Computer Science, vol 2626. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36592-3_49
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DOI: https://doi.org/10.1007/3-540-36592-3_49
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