A Poisson hidden markov model for multiview video traffic
作者： Lorenzo Rossi , Jacob Chakareski , Pascal Frossard , Stefania Colonnese
DOI: 10.1109/TNET.2014.2303162
关键词:
摘要: Multiview video has recently emerged as a means to improve user experience in novel multimedia services. We propose new stochastic model characterize the traffic generated by Video Coding (MVC) variable bit-rate source. To this aim, we resort Poisson hidden Markov (P-HMM), which first (hidden) layer represents evolution of activity and second frame sizes multiple encoded views. method for estimating parameters long MVC sequences. then present extensive numerical simulations assessing model's ability produce with realistic characteristics general class extend our framework network applications where show that is able accurately describe sender receiver buffers behavior transmission. Finally, derive interactive view selection, which, conjunction model, predict actual load multiview
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