MOOC-DASH: A DASH System for Delivering High-Quality MOOCs Videos

Abstract

Adaptive video streaming is very important for delivering high-quality video content of MOOCs (Massive Online Open Courses) to online learners because they often have Internet connections with different levels of bandwidth. Although DASH (Dynamic adaptive streaming over HTTP) is widely accepted as a viable streaming technology to implement scalable Internet streaming using HTTP transport, few research efforts have been made to investigate how to apply this relatively new technology on improving the quality of experience (QoE) of MOOC video streaming. This paper proposes a DASH scheme for MOOC video streaming (MOOC-DASH) to improve QoE of DASH-based MOOC. This scheme consists of content-aware ROI-based video encoding for MOOCs video and bitrate selection algorithm to provide a high-quality and smooth video streaming service to online learners. Experimental results demonstrate that it can effectively reduce the bandwidth of the video content and improve QoE of MOOC Streaming.