K. Messer, W.J. Christmas, E. Jaser, J. Kittler, B. Levienaise-Obadia, D. Koubaroulis  Home/Search
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Abstract: The use of video and audio features for automated annotation of audio-visual data is becoming widespread. A major limitation of many of the current methods is that the stored indexing features are too low-level --- they relate directly to properties of the data. In this work we apply a further stage of processing that associates the feature measurements with real-world objects or events. The outputs, which we call "cues", are combined to enable us to compute directly the probability of the ... (Update)
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BibTeX entry: (Update)
@misc{ messer-unified,
author = "K. Messer and W.J. Christmas and E. Jaser and J. Kittler and B. Levienaise-Obadia
and D. Koubaroulis",
title = "A Unified Approach to the Generation of Semantic Cues for Sports Video
Annotation",
url = "citeseer.ist.psu.edu/729965.html" }
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