A content based video traffic model using camera operations
We present our work on content based video (CBV) traffic modeling of variable bit rate (VBR) sources. The CBV approach differs from previous works in that it is not based only on matching of various statistics of the original source, but rather on modeling and mapping its visual content into the corresponding bit rate. We show that the CBV model is fully compatible with current and future compression algorithms including those of very low bit rate video coding. We introduce the separation principle between the visual content and encoder dependent bit rate mapping. We construct and verify two experimental CBV models for basic camera operations. The results obtained show that the CBV model can closely match the various statistics of the MPEG-2 VBR stream.