Quality of experience aware adaptation strategies for multi-view video over P2P networks

Abstract

This paper addresses quality of experience (QoE) aware adaptive streaming of multi-view video (MVV) over P2P networks. First, we investigate the effect of different adaptation methods over the QoE using subjective tests, and recommend an MVV adaptation decision chart according to peer buffer status. Second, we propose a simulcast MVV encoding scheme that uses a combination of both standard H.264/AVC and Scalable Video Coding (SVC) extension to achieve the best coding efficiency, while maintaining high adaptation capability. Third, we propose a chunk picking policy that is applicable to any P2P streaming architecture to enable QoE aware adaptive streaming. Finally, we perform P2P video streaming tests over a controlled LAN environment to demonstrate / validate the proposed solution.