A News Video Browser Using Identical Video Segment Detection
Structuring video archives is an important task to make full use of them. In broadcast news videos, some kind of video segments appears repeatedly. Those segments, which we call identical video segments, are useful for structuring or analyzing video database on our observation. In order to confirm that, we searched identical video segments from 350 hours-long broadcast news video archive and implemented a news video browser using results of identical video segment detection. We found that the distribution of those segments can be used to extract important topics from the news archive, and also found that time intervals of appearance of the same video segment can be used for classify identical video segments.
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