Research on the retrieval process of teaching video resources based on content

Abstract

The application of video resources has become extensive, and the demand to the video retrieval is growing intensely. How to access the video clips expected quickly and accurately from the massive video database has become the key issue in the development of the video information retrieval. The existing retrieval process based on keywords is no longer meeting the needs of users. Thus, video retrieval systems based on content have been proposed and become a hotspot of this field. This paper researches on teaching video retrieval process based on content, explores the search process and the key technologies for teaching video resources retrieval, which is applied in the "Course Review Platform on Basic Education".

YouTube Keyword Search Engine Using Speech Recognition

“…The first module is to provide various search to the user, then, the translation of users' query is performed by description module. In the third module, the inputted query matching compares to the video database content [11]. The feedback module verifies the extracted videos based on users' requirements, after extracts all related videos for the user in abstraction module, but if the results are dissatisfied, users can re-query [12].…”