Performance Optimization by Simplification of Relationship in Scalable Layer Stream

Abstract

Frequent packet loss of media data is critical problem that degrades the quality of streaming service in wireless networks. During scalable streaming service, only partial of data can be decoded at the decoder depending on the relationship between frames and layers. Contents provider divides one large media stream into several layers, and then provides each layer to user. The hierarchical structure between frames and layers highly exerts influence the availability of media data. Even if whole data of layer is transmitted successfully, they can not be decoded resulted from absence of reference frames and layers. The complicated relationship between frames and layers in scalable stream increases the volume of the abandoned layers.In this paper, we prove that simple scalable scheme outperforms complicated scheme in error prone network. We suggest the adaptive set top box (AdaptiveSTB) to drop dependency between layers in scalable stream. Also, we measure how much media data can be played through analysis in relationship between layers. AdaptiveSTB enhances the quality of scalable streaming service through removing indirect loss.