Online E-Learning with Video Searching
Maithili Jain, Shubhi Gupta, Aparna Dokhale, Manav Bharatiya, prof.Puneet Patel · International journal of advance research and innovative ideas in education · 2017
“Online Interactive E-learning with Video Searching” aims active learning framework for video annotation. By the method of clearly choosing which frames a user should annotate, we can obtain highly accurate data with minimal user effort. We have implemented the technique of video content mining which is a sub-part of video mining. Most of the video mining applications show data that depend on the name of the video. Here, we go a step forward in understanding the content present in the video and provide accurate result. The problem of getting irrelevant data still exists in data mining. We cast this problem as one of active learning, and show that we can obtain excellent performance by querying frames that, if annotated, would produce a large expected change in the estimated object track.