User Adaptive Mobile Video Streaming and User Behavior Oriented Video Pre- Fetching In Cloud
With exponential increase in the effective video streaming in mobile network.There is an increasing need for optimizing the quality of video delivery along mobile network. Exist result shows the poor service quality of video streaming over mobile network such long buffering time and interrupt happen in the streaming video. We propose a new mobile video streaming method using cloud. In cloud we use user-Adaptive Mobile Video Streaming (AMoS) and the User Behavior Oriented Video Pre-Fetching (UBoP). We create private agent for video distribution process. It adjusts her streaming and reduces the traffic using SVC.It shows the social interaction between the mobile users. Video quality based on feedback of link quality. Result shows that the cloud can effectively provide the video streaming and video sharing on network. Efficient perfecting video content done in cloud. Prefetching done based on user resolution and bandwidth.
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