Geert Der Auwera, Arizona State University, Dept. of Electrical Engineering, Tempe, AZ 85287-5706. geert.vanderauwera@asu.edu
Martin Reisslein, Arizona State University, Dept. of Electrical Engineering, Tempe, AZ 85287-5706. reisslein@asu.edu
Lina Karam, Arizona State University, Dept. of Electrical Engineering, Tempe, AZ 85287-5706. karam@asu.edu
We examine the bit rate variability-distortion (VD) curve of I, P, and B frames of MPEG-4 VBR encoded video sequences. We show that the concave VD curve shape at high compression ratios or large quantization scales, is influenced by both the texture and the motion information. We use linear and quadratic models for the texture and motion bits statistics and devise accurate VD curve models. The model parameters are obtained from statistics that are estimated from two encodings. This work extends our previous work on modeling the VD curve, which has applications for optimal statistical multiplexing of VBR streaming video.
Citation:
Geert Der Auwera, Martin Reisslein, Lina Karam, "Video Texture and Motion based Modeling of Rate Variability-Distortion (VD) Curves of I, P, and B Frames," icme, pp.1405-1408, 2006 IEEE International Conference on Multimedia and Expo, 2006
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