In this paper, a video segmentation algorithm based on Hidden
Markov Model classifier with multimodal feature is proposed. By using
Hidden Markov Model classifier with both audio and visual features,
erroneous shot boundary detection and over-segmentation were avoided
compared with conventional algorithms. The experimental results show
that the propose method is effective in shot detection.