Abstract
This paper focuses on developing a static video adaptation algorithm in order to present suitable video content according to device’s capabilities, bandwidth availability and user preferences. Server-based content adaptation approach has been implemented to cater accessibility problem of the current mobile learning system. The video content is adaptively generated based on recognize mobile phone capabilities and sent back to the requested client. In the proposed algorithm, the decision mechanism in the video adaptation algorithm is based on three parameters, which are the device characteristics, network bandwidth and user preferences. This work extends the accessibility of the mobile learning system for access via mobile wireless technology specifically for the access of the video content. The result shows that the proposed algorithm offers very significant performance improvement which is a reduction of network access latency and file size. The proposed algorithm also provides low complexity and can be implemented efficiently.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
