DYNAMIC COMPRESSION AND REAL-TIME REGIONAL LANGUAGE CAPTIONING OF E-LEARNING VIDEO DATA

Abstract

The existing multimedia software in E-Learning does not provide par excellence multimedia data service to the common user; hence E-Learning services are still short of intelligence and sophisticated end user tools for visualization and retrieval. Delivery of video in the presence of bandwidth constraints is one of the most important video processing problems. Our work presents an innovative and complete end-to-end solution for E-Learning multimedia delivery package for the client-server model. An efficient approach has been proposed to achieve the following tasks: regional language captioning\subtitle, regional language narration, regional language annotations, table of contents, keywords based efficacious seek, and modified content based embedded scalable motion compensated video compression, for the E-learning videos, to save and/or efficiently utilize the network bandwidth. Also, we introduce a noble concept of Even and Odd frame, distinction (EODist). A significant reduction in number of retransmissions of data packets has been observed after integrating EODist into the video streaming system. We hence reduce the language barrier and seeking time for E-Learning videos, and efficiently utilize the ever-fluctuating network bandwidth for delivery of video in client-server model