QOS mapping for Fine Granular Scalability with base layer scaling

Scalable video coding is receiving increasing attention. However, few papers address QoS mapping with regard to scalable video coding. This paper uses Fine Granular Scalability with base layer scaling that offers application-level QoS control. An experiment is conducted that uses the DSIS method to subjectively assess Fine Granular Scalability. The results show that the maximum of the mean grading point fell as the base-layer Size value decreased. Our results also show that Fine Granular Scalability provides only SNR scalability, not subjective image quality scalability. A multiple regression analysis shows that we can establish QoS mapping between user and application-levels by using both application-level QoS parameters and a feasible human factor. Furthermore, we show that FGS can adjust to not only a wide range of channel capacities but also a wide variety of users by using the indicated QoS mapping.