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- W2980202483 abstract "In this work, we propose a static video summarization approach for the analysis of cattle's movement. An original digital video with a length of about 1 hour (58 minutes and 42 seconds) recording the daily behaviors of cattle in cattle barn was applied as the experimental object. In the approach, machine learning, statistics and color histogram are used to extract key-frames from the video. And it can be confirmed that this approach achieve the purpose of video summarization based on cattle's movement through analyzing the results of the experiment." @default.
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- W2980202483 date "2019-03-22" @default.
- W2980202483 modified "2023-09-27" @default.
- W2980202483 title "A development of content-based video summarization system using machine-learning and its application to analysis of livestock behavior" @default.
- W2980202483 doi "https://doi.org/10.1117/12.2522172" @default.
- W2980202483 hasPublicationYear "2019" @default.
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