English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In multimedia-based learning systems, there is need for segmenting and organizing 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 changes 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.

Segmentation and Organization of Lecture Video Based On Visual Contents