Approach to video indexing and retrieval for online learning
Wang Guo-ying · Jisuanji gongcheng yu sheji · 2010
A new approach to video indexing and retrieval is presented according to the peculiarity of online learning system.The natural language in the system is used to get the video clip needed expediently.The method integrates natural language processing,named entity extraction,frame-based indexing,and information retrieval techniques to make the system process questions proposed by natural language, question template is created according to the question,then the system try to find the best match between the question template and the templates created based on videos,it reduce the complexity of video retrieval and make the online learning system easier to use.