Host: Japan SOciety for Fuzzy Theory and intelligent informatics
Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"
Surplus bands inevitably occur in VBR encoding that is generally used for data streaming. These bands can be used efficiently by adding the data of static contents. However, there are some delays for adding the data, so that the transmission rates of the total data frequently exceed the maximum communication band. This is because each surplus bandwidth is calculated from the formerly observed data. In this paper, we propose a method to estimate the surplus bandwidth by using the multi-order Markov model together with the quantization of the bandwidth. The proposed method requires so little computational time that it is quite suitable for real-time data processing. The efficiency of the proposed method is evaluated through some computer simulations. Discussions for some problems in future studies are also included.