Video Synchronization via Space-time Interest Point Distribution
نویسندگان
چکیده
We propose a novel algorithm to synchronize video recording the same scene from different viewpoints. Our method relies on correlating space-time interest point distribution in time between videos. Space-time interest points represent events in video that have high variation in both space and time. These events are unique in time and may pronounce themselves in videos from different viewpoints. We show that by detecting, selecting spacetime interest points and correlating their distribution, videos from different viewpoints can be automatically synchronized.
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