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.
In order to organize the event such as ceremonies, lectures and academic societies, we have to make plans such as layout of the venue, placement the staff, route of entry and so on. In addition, it is also important to make sure of the lighting and sound effects of the venue, and to carry out simulations assuming troubles. On the other hand, a presenter is likely to be in trouble caused by being unfamiliar with the venue. It is also important to confirm the situation of the venue and the position of the seat as participants. However, from the point of the venue reservation and movement cost, it may be difficult to preview and rehearse at the venue several times. Therefore, the purpose of this research is to develop a stage event support system using virtual reality techniques. By using this system, organizer can simulate placement of the venue and simulate the schedule, presenters can confirm the environment of the venue and practice, and participants can check the situation of the venue. When a system user wears a head mounted display (HMD), she/he can perform rehearsals and simulations before the event such as confirming the environment and practicing events as if she / he is in the real space on.
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