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Significance A webcam collects tons of short video clips for home security, fire inspection, and animal’s behavior study, etc. For efficiency, effectiveness, and economy of the variety of purposes of the use of the video data, we need to remove informationless data. To solve this problem, we propose two non-Euclidean graph-based change-point tests: SHP* and MST*. The proposed test SHP* is not only distribution-free but also, consistent. As shown in the real data example of a bee’s flower visitation, it has successfully detected both landing and departure times of a bee from the video data with random interference.

Consistent and powerful non-Euclidean graph-based change-point test with applications to segmenting random interfered video data