Expert pattern recognition method for technology-independent classification of video transmission quality

Author

Quincy, Edmund A. ; Tomich, Daniel J. ; Kubichek, Robert F.

Author_Institution

US Dept. of Commerce, Boulder, CO, USA

fYear

1988

fDate

28 Nov-1 Dec 1988

Firstpage

1304

Abstract

The authors propose a method for objectively determining video transmission quality that is user-oriented and independent of coding/decoding and transmission technologies. The technique uses an expert pattern recognition system that operates on received-image measurements with unknown transmission impairments. The system provides quality classification on a minimum probability-of-error basis relative to subjective classification. The expert system uses statistical pattern recognition rules to perform low-level processing and an initial classification. Additional knowledge about subjective classification, visual perception, user requirements, and application bias are applied by the expert system to obtain a refined classification of image quality

Keywords

computerised pattern recognition; expert systems; quality control; telecommunications computing; video signals; application bias; expert system; image quality; initial classification; low-level processing; pattern recognition; subjective classification; technology-independent classification; user requirements; video transmission quality; visual perception; Codecs; Distortion measurement; Electronic equipment testing; Expert systems; Measurement standards; Pattern recognition; Quality assessment; System testing; TV; Teleconferencing;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1988, and Exhibition. 'Communications for the Information Age.' Conference Record, GLOBECOM '88., IEEE

Conference_Location

Hollywood, FL

Type

conf

DOI

10.1109/GLOCOM.1988.26039

Filename

26039