Development of the lecture video retrieval system based on knowledge

点击翻译按钮获取中文摘要

We have developed a search system of the class video. The system analyzes the video analyzes the video analyzes the video using sound recognition using sound recognitionusing automatic speech recognition. This system enables us to search the scene that needed in the video. By configuring the client system as a web application, the system is now available from not only PC but also the mobile terminals. Therefore, the learning efficiency using class video increased. The method of spoken document retrieval was examined using the contents complement and keyword expansion. It was found that a beginning subtopic is useful as topic information in the contents complement. The expansion of the retrieval keyword by using the subordinate concept was effective. The subword was effective because a retrieving keyword was not contained in target in many cases. Moreover, the method using the contents complement, keyword expansion, and subword was better than the individual use.