A method for quantization scale factor selection in MPEG2 video sequence encoding using a bilayer fuzzy expert system

This paper presents a method for intelligent selection of the quantization scale factor used for varying bit rate and quality in the MPEG2 video encoding standard. The goal is to select the quantization scale factor, above which, noticeable quality degradation occurs. This method uses a bilayer fuzzy logic system to aggregate measurements taken on the block level. The rulebases are designed around the characteristics of the human visual system (HVS). By taking advantage of the HVS characteristics, an informed selection of the quantization scale factor with respect to the resulting quality can be made.