Multiple Lecture Video Annotation and Conducting Quiz Using Random Tree Classification
V. Sai Anusha, J Shereen · International Journal of Engineering Trends and Technology · 2014
In the modern days, the institutes of education are showing more interest in the field of E-Learning or in the field of internet based educational services. The growth of video lecture annotation tools also plays an essential role in the education environment. At first, the CLAS (Collaborative Lecture Annotation System) was limited to a single study-test episode .To deal with challenge we are proposing MLVA (Multiple Lecture Video Annotation) tool, developed to make the extraction of important information. The primary of concept MLVA is straight forward. While watching a video captured lecture, each student indicates key points in the lecture by a simple button press. Each button press represents a point-based semantic annotation and indicates, “For this user somewhat important happened at this point in the lecture.” The system relies on semantically constrained annotation, post-annotation data amalgamation and transparent display of this amalgamated data. As a future enhancement focus on conducting Quiz to the students and Instructor.