Title :
A method for quantization scale factor selection in MPEG2 video sequence encoding using a bilayer fuzzy expert system
Author :
Harding, R. Todd ; Wu, Chwan-Hwa
Author_Institution :
Dept. of Electr. Eng., Auburn Univ., AL, USA
fDate :
2/1/1998 12:00:00 AM
Abstract :
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). A qualitatively sensitive quantization scale factor can be chosen by taking advantage of the HVS characteristics
Keywords :
code standards; discrete cosine transforms; expert systems; fuzzy logic; image sequences; quantisation (signal); telecommunication standards; transform coding; video coding; visual perception; DCT; HVS characteristics; MPEG2 video sequence encoding; aggregate measurements; bilayer fuzzy expert system; bilayer fuzzy logic system; block level; human visual system characteristics; image analysis; intelligent selection; quality degradation; quantization scale factor selection; rulebases; varying bit rate; video encoding standard; Aggregates; Bit rate; Discrete cosine transforms; Encoding; Fuzzy logic; Humans; Image coding; Quantization; Video sequences; Visual system;
Journal_Title :
Industrial Electronics, IEEE Transactions on
