Carnegie Mellon University
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Detection of TV News Monologues by Style Analysis

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journal contribution
posted on 1981-01-01, 00:00 authored by Cees G.M. Snoek, Marcel Worring, Alexander Hauptmann
We propose a method for detection of semantic concepts in produced video based on style analysis. Recognition of concepts is done by applying a classifier ensemble to the detected style elements. As a case study we present a method for detecting the concept of news subject monologues. Our approach had the best average precision performance amongst 26 submissions in the 2003 TRECVID benchmark

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1981-01-01

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    computer sciencesInformation and Computing Sciences not elsewhere classified

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