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J. Kittler and K. Messer and W. J. Christmas and B. Levienaise-Obadia and D. Koubaroulis
ABSTRACT
The use of video and audio features for automated annota tion of audiovisual data is becoming widespread. A major limitation of many of the current methods is that the stored indexing features are too lowlevel they relate directly to properties of the data. In this work we apply a further stage of processing that associates the feature measurements with realworld objects or events. The outputs, which we call ''cues'', denote the probability of the object being present in the scene. An additional advantage of this approach is that the cues from different types of features are presented in a homogeneous way. 
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
Generation of semantic cues for sports video annotationSite generated on Friday, 06 January 2006