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Movie browsing system based on character and emotion

机译：基于人物与情感的电影浏览系统

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摘要

A variety of research is in progress to detect wanted scenes from videos. A method of detecting scenes wanted by a user through scene rearrangement based on calculated visual similarity is limited in that such a method docs not reflect elements along the storyline through which a user remembers a movie. A movie's story is built up by characters, and such build-up is closely related with emotions of characters in a film. A movie browsing system based on storyline is executable by applying characters and those characters' emotions. Thus, methods of extracting key characters in each scene and of clustering scenes through extraction of emotion vectors from dialogues in each scene are hereby suggested. This paper also proposes to develop a movie browsing method and a system based on emotions of characters.
机译：正在进行各种研究以从视频中检测出想要的场景。一种基于所计算的视觉相似度通过场景重排来检测用户想要的场景的方法的局限性在于，这种方法不会沿用户记住电影的故事情节反映元素。电影的故事是由人物构成的，而这种故事与电影中人物的情感密切相关。基于故事情节的电影浏览系统可以通过应用角色和角色的情感来执行。因此，在此提出了从每个场景中的对话中提取情感矢量来提取每个场景中的关键人物以及对场景进行聚类的方法。本文还提出了一种基于角色情感的电影浏览方法和系统。

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