Adaptive transmission of split-screen video over wireless networks

Abstract

With the tremendous growth of video contents and mobility demands, there is a need to develop more personalized video services. Split-screen service, e.g., picture in picture, becomes more and more popular. However, the video transmission of split-screen service still faces several major challenges, one of which is how to assess the users' quality of experience (QoE) of the split-screen service. There may be multiple videos for different resolutions displayed on one screen. A consistent way is needed to assess the users' QoE of the split-screen service. The second challenge is how to choose bitrate of each video stream to maximize users' QoE of the split-screen service. Multiple video streams are transmitted to user over resource-constrained wireless networks. Therefore, it is a difficult issue to select an appropriate bitrate for every video streaming. To address these challenges, in this paper, we first present a dynamic adaptive video transmission scheme (DAVTS) based on MPEG Media Transport (MMT) protocol. Then we introduce a novel mathematical model for characterizing users' QoE to be affected by some factors in the proposed DAVTS. In the model, the objective method of QoE assessment of split-screen service is proposed. Based on the model a problem of maximum income in QoE of users is considered. We use a transmission bitrate selection (TBS) algorithm to solve the optimization problem. Simulation results demonstrate that DAVTS can enrich the video quality while reduce video jitters.