发明名称 TOPIC IDENTIFICATION IN LECTURE VIDEOS
摘要 A method of identifying topics in lecture videos may include receiving lecture video metadata, learning courses metadata, and a lecture video transcript (transcript). The transcript may include transcribed text of a lecture video (video). The method may include discovering candidate learning courses related to the video based on a measured similarity between the video metadata and the learning courses metadata. The method may include extracting key phrases from learning materials of the candidate learning courses. The method may also include assigning weights to the extracted key phrases based on a position of the extracted key phrases and a frequency with which the extracted key phrases appear, and the discovered candidate learning course in which the key phrases appear. The method may include apportioning the video into topic-specific portions based on topic segments generated in the transcript, the presence of the extracted key phrases therein, and the assigned weights.
申请公布号 US2015286718(A1) 申请公布日期 2015.10.08
申请号 US201414245725 申请日期 2014.04.04
申请人 FUJITSU LIMITED 发明人 WANG Jun;UCHINO Kanji
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method of identifying topics in lecture videos, the method comprising: receiving lecture video metadata, learning courses metadata, and a lecture video transcript having transcribed text of a lecture video; discovering one or more candidate learning courses that are related to the lecture video based on a measured similarity between the lecture video metadata and the learning courses metadata; extracting key phrases from learning materials of the one or more candidate learning courses; assigning weights to the extracted key phrases based on a position of the extracted key phrases in the learning materials, frequencies with which the extracted key phrases appear in the learning materials, and the discovered candidate learning course in which the key phrases appear; and apportioning the lecture video into two or more topic-specific portions based on two or more topic segments generated in the lecture video transcript, presence of the extracted key phrases within the two or more topic segments, and the assigned weights of the extracted key phrases.
地址 Kawasaki-shi JP