Higher education institutions have made videos an integral part of their curriculum. It can be incorporated into any traditional course. Despite the fact that video lectures are an engaging educational resource for students, they lack access to the needed content. We won't be able to see the given piece of video unless we know where it is. This chapter's major goal is to automatically split an educational lecture video into distinct relevant chunks, which are subsequently presented to students in a tailored manner for easy navigation. Based on language similarities across the various frames of the lecture video, this technique determines the topics being addressed by the teacher. Fundamental In every instructional video, the challenge is to provide a semantic query and effectively retrieve relevant content from a long video. If pupils have access to a proper browsing facility, they will be able to do effective searches. Instead of a presenter from the projected electronic slides, our technique focuses on the slides. The method seeks to use the video streams acquired from the camera during the lecture to turn the slides into images after performing slide segmentation. The titles and subheadings on these independent images will be used to organise the instructional video. The organisation and segmentation of technical lecture films for educational purposes. to make slideshow modifications not only organise video information by topic, but also make synchronisation of video, audio, and electronic slides easier for indexing, browsing, and retrieval at a later time. The goal of this project is to provide learners with quick access to video information. The content page at the beginning of the book and the index page at the conclusion of the book make it simple to find a certain page or paragraph in the text books. In a similar vein, a method to extract text from presentation slides is required for lecture video. The primary goal of this research is to come up with effective and efficient automated methods for segmenting lecture films into subjects and subtopics. to make slideshow modifications not only organise video information by topic, but also make synchronisation of video, audio, and electronic slides easier for indexing, browsing, and retrieval at a later time. The goal of this project is to provide learners with quick access to video information. The content page in text books makes it simple to find a certain page or paragraph. In the start of the book, and at the end of the book, there is an index page. In a similar vein, a method to extract text from presentation slides is required for lecture video. The primary goal of this research is to provide effective and efficient automated methods for segmenting lecture films into subjects and subtopics. Knowledge seeking and e-Learning will be aided by this video segmentation and browsing frameworks.
Author (S) Details
Prof. Nilesh Uke
Trinity Academy of Engineering Pune, India.
Mrs. Shailaja Uke
SKN Sinhgad Institute of Technology and Science, Lonavala Pune India.
View Book :- hhttps://stm.bookpi.org/MPLLE-V7/article/view/2877
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