Meeting real-time requirements for a low bitrate multimedia encoding framework

A serious bottleneck in real-time multimedia applications is the non-availability of required network bandwidth. While much research has been done on multimedia compression and network resource optimization, multimedia delivery is still a big concern especially for scarce resource networks. The virtues of network aware video coding and application of domain specific compression techniques have not yet been fully explored. In this paper we propose a dynamic Network Bandwidth Allocation Scheme which deals with intelligent transmission of the video sequence over the network. We incorporate the knowledge of the network conditions to determine how various parts of the video frames are encoded. The module is called is called SDM (Smart Decision Maker) and it builds over an intelligent classification of Video into Visual Objects (VOs). An estimate of the available network bandwidth is obtained which is then distributed optimally between the different frame constituents based on their relative importance and motion.