A metadata-based RCBR transmission of video-on-demand

Abstract

This paper presents an effective video-on-demand server architecture for the robust transmission under time-varying channel environments and traffic-smoothing/admission control/rate adaptation algorithms under RCBR network. The proposed video-on-demand server system consists of video DB and metadata DB that includes various compression history information such as the quantization parameters versus output rate profile, encoded frame positions and encoding types, etc. The traffic-smoothing, rate adaptation and admission control algorithms are performed based on these metadata.