KEYWORDS: Video, Prototyping, Video processing, Image segmentation, Digital video recorders, Video compression, Multimedia, Information visualization, Feature extraction, Facial recognition systems
In this paper, we propose a new time-reduction method for video skimming in which the focus is on the overall playback time. While fast-forwarding is a natural way to check whether or not items are of interest, the sound is not synchronized with the images and the lack of comprehensible audio data means that we must work from the images alone. The focus in video summarization has been solely on video segmentation, i.e. building a structure that represents the parts and flow of meaning in the video. In our system, the user simply specifies the running time required for the summarized video. We describe the current state of our prototype system and its results in testing, which show how well it works.
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