Abstract—In multimedia-based learning systems, there is need for segmenting and organizi ng lecture videos into topic and subtopics. Fundamental problem in any lecture video is to give semantic query and effectively retrieve relevant contents form long video. Effective search capability for the students can be provided if proper browsing facility is provided. Automatic segmentation is highly desired because of the high cost of manual segmentation. In this paper, we propose a general system for segmenting and organizing method for educational videos that is based on a knowledge base of existing recorded lectures. Our approach concentrates on the slides instead of a presenter from the projected electronic slides. The proposed method aims in using the video streams of the lecture delivered captured from camera and get the slides converted into images after applying slide segmentation. These independent images have heading and subheadings which will be used for organizing the lecture video.
The organizing and segmenting videos of the technical videos according to slide change s not only structure the content of video according to topics, but also facilitate the synchronization of video, audio and electronic slides for effective indexing, browsing and retrieval at later stage.

Index Terms—Browsing, multimedia, video segmentation.

N. J. Uke is with Department of Information Technology, Sinhgad College of Engineering, Pune, India (e-mail address: njuke.scoe@sinhgad.edu).
R. C. Thool is with Department of Information Technology, SGGS College of Engineering and Technology, Nanded, India.

Cite: Nilesh J. Uke and Ravindra C. Thool , "Segmentation and Organization of Lecture Video Based On Visual Contents," International Journal of e-Education, e-Business, e-Management and e-Learning vol. 2, no. 2, pp. 132-134, 2012.