Improving mobile video telephony

Shraboni Jana, Eilwoo Baik, Amit Pande, Prasant Mohapatra

Abstract: Video telephony is becoming popular over smart-phones and tablets. Unlike the Desktop era, smartphone users are often `mobile' and this impacts how the video is processed and transmitted over the network. The significant increase in the motion content in such videos change the composition of video frames. Coupled with wireless packet losses, it often leads to poor quality of video received by the end user. In this work, we propose RVD, a framework for Reliable Video Delivery in mobile telephony by accounting for video object motion comprising foreground end-user motion and background scene changes in the network transmission of video. Multilayer perceptron (MLP) based non-linear regression model is used to analyze the impact of redundancy on received video quality under network variations and different degrees of video motion. RVD achieves 17-25% bandwidth savings for a target video quality, and 50-56% quality improvement over video-oblivious approaches.