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William Christmas and Edward Jaser and Kieron Messer and Josef Kittler
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. Experimental results on sports video provided by the BBC demonstrate that this method is working well. The system merges and synchronises several streams of cues derived from the video and audio sources, where each stream may have a different latency. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
A Multimedia System Architecture for Automatic Annotation of Sports Videos Site generated on Friday, 06 January 2006