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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,...
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