Abstract
Several works have concluded that the number of cells per frame of VBR video follows a gamma distribution. But few model meets this character. In this paper we propose a novel video model, a first-order autoregressive (AR) gamma sequence, in which random variables are marginally distributed as gamma variables. We give the definition of GAR model and show some characters of GAR(1). The parameter estimation methods are studied too. Simulation results show that our model can meet the characters of VBR video better than the former models.
Original language | English |
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Pages | 1045-1048 |
Number of pages | 4 |
Publication status | Published - 1996 |
Externally published | Yes |
Event | Proceedings of the 1996 International Conference on Communication Technology Proceedings, ICCT'96. Part 2 (of 2) - Beijing, China Duration: 5 May 1996 → 7 May 1996 |
Conference
Conference | Proceedings of the 1996 International Conference on Communication Technology Proceedings, ICCT'96. Part 2 (of 2) |
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City | Beijing, China |
Period | 5/05/96 → 7/05/96 |