Joshua S. Wachman

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This thesis investigates the role of learning in a video browsing venue. Regions of significant change are preselected automatically from video sequences in a television situation comedy. These regions, which often depict portions of actors, are presented to the user for interactive labeling. The user specifies regions which are positive and negative(More)
This paper describes research in which evidence from audio and visual-kinesic data is combined to obtain an automatic, unsupervised characterization of discourse in the monologues of comedians Jay Leno and David Letterman. We describe the process of obtaining feature vectors from audio and video data and present results of classifying the feature space in(More)
This thesis investigates the role of learning in a video browsing venue. Regions of significant change are preselected automatically from video sequences in a television situation comedy. These regions, which often depict portions of actors, are presented to the user for interactive labeling. The user specifies regions which are positive and negative(More)
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