Quality assessment and modelling for Dynamic Adaptive Streaming via HTTP (DASH)

Future projections indicate that over two-thirds of the mobile data traffic will be video by 2018. A large portion of this video will be delivered via DASH, due to several factors, including firewall traversal, NAT transparency, re-use of the current network infrastructure. The MPEG-DASH standard from the Moving Picture Experts Group (MPEG) group specifies a framework for adaptive video streaming over HTTP in heterogeneous environment such as the Internet. For the design of appropriate adaptation strategies, it is important to be able to assess the quality of the video delivered via DASH.

Ideally, subjective tests with users should be performed, but these are time demanding and expensive. For this reason, it is important to design models able to estimate the quality of the received video based on information on parameters measured in the transmission chain.

The goal of this project is to design quality models for HTTP video streaming able to estimate the quality as assessed by subjects.

The project will be performed in a collaboration with the Video Quality Expert Group (VQEG) and within a Study Group in the International Telecommunications Union (ITU).