In this paper, we propose a fast autoregressive prediction scheme that takes into consideration the characteristics of variable-bit-rate (VBR) encoded video. The proposed scheme is based on the fast orthogonal search (FOS) algorithm and is characterized by its low computational complexity in addition to its accuracy in predicting the sizes of video frames. In addition, the proposed scheme handles the short-term and long-term dependence inherent in the sizes of the video frames without the need to assume any specific distribution. Simulation and numerical investigations are carried out to study the efficacy of the proposed predictors on video sequences with different spatial and temporal contents.

Additional Metadata
Keywords FOS, Orthogonal search, Traffic modeling, Traffic prediction, VBR video
Persistent URL dx.doi.org/10.1109/UKSim.2014.121
Conference 16th UKSim-AMSS International Conference on Computer Modelling and Simulation, UKSim 2014
Citation
Hassan, M. (Mohamed), Atia, M, & Noureldin, A. (Aboelmagd). (2014). A prediction scheme for VBR video traffic using a fast orthogonal search algorithm. In Proceedings - UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, UKSim 2014 (pp. 542–547). doi:10.1109/UKSim.2014.121