Rate adaptation algorithm with backward quality increasing property for SVC-DASH

Adapting quality based on the underlying network conditions is one of the most important components of video streaming applications. Today HTTP adaptive video streaming systems are used prevalently around the world and this tendency led MPEG group to standardize DASH. Scalable video coding can be used as an alternative codec in DASH applications. In this case quality adaptation can be done by adding or subtracting video layers. In this paper we propose a rate adaptation algorithm for a DASH system that utilizes Scalable Video Coding (SVC) properties to increase Quality of Experience (QoE). Comparative simulation results show that as well as the storage and bandwidth efficiency advantages scalable video coding is also advantageous in increasing QoE due to the quality increasing method.