Implementation and Quality Assessment of a User- Centric Adaptation System for DASH

In recent years, dynamic adaptive streaming over HTTP (DASH) has been widely used in order to let the viewer have an uninterrupted streaming and therefore higher quality-ofexperience (QoE). The technique basically relies on dynamic rate adaptation by downloading the video at lower qualities according to various network conditions. However, many issues are open related to client-side rate adaptation. For example, current DASH systems do not yet let the viewer decide which aspect of quality of the video should be reduced first and which aspect of quality of the video should be stable. This paper presents a novel adaptation system for DASH which is designed to search whether a higher QoE might be achieved if the adaptation method could be user-centric. During subjective quality assessment, it has been observed that all the participants have had a higher QoE compared to regular DASH system when they were given a chance to decide the way of adaptation