Most of the existing work on modeling variable bit rate (VBR) video sources does not either explicitly take into account groupof-pictures (GOP) or assumes a fixed GOP structure. Real video data inherently possesses a variable GOP structure. We propose a number of doubly Markov models for such real data. These models outperform presently proposed models and have reasonable complexity in terms of the number of parameters.
Deepak S. Turaga, Tsuhan Chen