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2004

Retrieving what's relevant in audio and video: statistics and linguistics in combination

9 years 3 months ago
Retrieving what's relevant in audio and video: statistics and linguistics in combination
We present some of the technology developed at StreamSage for indexing and retrieving audio/video data. A primary difficulty of this task is precise extraction of the passages relevant to the query from the audio/video stream, which is crucial in presenting results in a manageable fashion, particularly locating their beginning and end. We focus on the combination of linguistic and statistical approaches employed to construct content-specific relevance intervals in timed media. These techniques, including topic and topic boundary identification, referent resolution, and large coverage word sense disambiguation, must be automatic, scalable, and domainindependent.1
Anthony Davis, Philip Rennert, Robert Rubinoff, Ti
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2004
Where RIAO
Authors Anthony Davis, Philip Rennert, Robert Rubinoff, Tim Sibley, Evelyne Tzoukermann
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