Authors : L. Arun Raj, Dhananjay Kumarand and A. Srinivasan
Abstract: The current streaming systems involve making the client end adaptive or sending data with precautions to increase the efficiency and Quality of Experience (QoE) for the end user. Further, the efficiency of streaming reduces to a larger extent when the media content is carried over wireless networks. In this study, a novel system architecture has been proposed in which the QoE is increased by changing the specific video parameters at runtime, i.e., dynamically modifying the streaming parameters based on the client’s link capability. The proposed Adaptive Client Server (ACS) algorithm is based on local maxima and local minima, using which the client identifies its incoming bit-rate of streaming video. The client samples and estimates the pattern of incoming bit-rate and sends the status report to the server in a predefined message format. Upon receiving the message the server decides and modifies the necessary video parameter based on the adaptive algorithm. The monitoring by client and listening for messages by server are carried out continuously in a feedback loop, thereby making the streaming system adaptive in a real time. Performance analysis shows that the proposed algorithm achieves an approximate increase of 25% in PSNR and 9% in SSIM than the traditional approach.
L. Arun Raj, Dhananjay Kumarand and A. Srinivasan, 2016. Adaptive Video Streaming over Wireless Internet with Improved QoE in Client Server Architecture. Asian Journal of Information Technology, 15: 1322-1333.