Summary: | 碩士 === 國立交通大學 === 資訊工程系 === 88 === With the amount of multimedia information growing and limitation of network bandwidth, it is necessary to construct a system which
helps people to filter every kind of multimedia information in the network automatically. Due to the large amount and the linearly
access property of video data, we always need a convenient and efficient tool for video browsing and indexing to determine if the
video data is interesting. And we aim at the most important video domain, News program, to parse and segment. After reconstructing
the News, we try to provide as many as possible browsing ways for users. In this paper, we bring up an idea to separate commerce
shots from the News program and to detect anchor shots. We describe algorithms for constructing News stories with those
classed shots. Then users could get brief knowledge about the stories by the keywords and keyframes in the News video and decide
if they want to watch it and how to watch. At the same time, we describe a whole framework of News video browsing system,
including the flow path of system, design of database, user interface, and the transportation of video in the network.
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