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- W1605316656 abstract "This paper describes work we are doing to identify significant events in video captures of academic lectures. Unlike other approaches which tend to define per-image comparison threshold values based on intuition or empirically derived results, we use supervised machine learning techniques to automatically determine appropriate image characteristics based on end-users understanding of what constitutes an important event. This makes our approach more adaptable to different kinds of content, and still provides a substantial level of agreement with human experts." @default.
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- W1605316656 date "2009-07-20" @default.
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- W1605316656 title "Detecting Significant Events in Lecture Video using Supervised Machine Learning" @default.
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