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 John

Author_Institution

Dept. of Electr. Eng., Auburn Univ., AL, USA

fYear

1996

fDate

2-6 Dec 1996

Firstpage

475

Lastpage

479

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). By taking advantage of the HVS characteristics, an informed selection of the quantization scale factor with respect to the resulting quality can be made

Keywords

expert systems; fuzzy logic; image sequences; quantisation (signal); video coding; MPEG2 video sequence encoding; bilayer fuzzy expert system; bilayer fuzzy logic system; human visual system; intelligent selection; measurement aggregation; quality degradation; quality variation; quantization scale factor selection; rule bases; rulebases; varying bit rate; Aggregates; Bit rate; Discrete cosine transforms; Encoding; Fuzzy logic; Humans; Image coding; Quantization; Video sequences; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Technology, 1996. (ICIT '96), Proceedings of The IEEE International Conference on

Conference_Location

Shanghai

Print_ISBN

0-7803-3104-4

Type

conf

DOI

10.1109/ICIT.1996.601634

Filename

601634