  We investigate methods of segmenting, visualizing, and indexing presentation
videos by separately considering audio and visual data. The audio track is
segmented by speaker, and augmented with key phrases which are extracted using
an Automatic Speech Recognizer (ASR). The video track is segmented by visual
dissimilarities and augmented by representative key frames. An interactive user
interface combines a visual representation of audio, video, text, and key
frames, and allows the user to navigate a presentation video. We also explore
clustering and labeling of speaker data and present preliminary results.

Multimedia;Information Retrieval