Automatic Video Summarization
by Using Color and Speech Information
Abstract
With increasing digital video, the user wants to grasp
contents of video efficiently. We need to reduce the size of video
without losing contents to satisfy with such request. In this paper, we
propose the method that infers contents of video by using color and
speech information of video and makes a summary
automatically. Our targets for the summarization is video including
consecutive story such as movie, not video such as TV news program
which includes relatively clear topic boundaries. We use
color frequency histograms of images as color information and
Closed Caption as speech information. Generated summaries keep most of
contents of original video, and compression rates of the summary are between
10% and 30%.