Statistical models for mpeg video standard

Asynchronous Transfer Mode (ATM) Broadband Networks will support variable bit rate video (VBR) codecs, which are capable of maintaining a constant picture quality of the reconstructed image. The modeling of VBR video source becomes important in the analysis and design of B-ISDN. Network architecture and their characteristics such as cell-loss probabilities, transmission delay, high-speed statistical multiplexing gain, buffering, are strongly related by the statistical properties of the sources and the coding schemes involved. Several video coding schemes have been proposed for VBR services. MPEG is a video coding standard which can be used for transmiting real time variable bit rate broadcast video. WEG has mainly two coding modes: interframe mode and intraframe mode (1). The first one can be distinguished into predicted ones (P) and interpolated ones (B). Coding can be considered on four levels in order of decreasing size: picture, slice, macroblock and block. A picture (or frame) is a basic unit of display. The dimension in pixels of a frame depends on the application. A slice is a horizontal strip within a frame. A macroblock consists of four W blocks of luminance pixels and two W chrominance blocks. ´Me smallest unit is a block which is an W pixels matrix. Using MPEG as a VBR video codec, this work develops and evaluates multistate Markov chain for a three-activity-level (I P, B) as a statistical model to characterize the previous mentioned video standard source.