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This paper describes a technique for segmenting video using hidden Markov models (HMM). Video is segmented into regions defined by shots, shot boundaries, and camera movement within shots. Features for segmentation include an image-based distance between adjacent video frames, an audio distance based on the acoustic difference in intervals just before and after the frames, and an estimate of motion between the two frames. Typical video segmentation algorithms classify shot boundaries bydoi:10.1109/icassp.1998.679697 dblp:conf/icassp/BoreczkyW98 fatcat:fsxl52zzkffwnlq7jmtah2c3km