Video adaptation algorithm for mobile learning environment

This paper focuses on developing a 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.