DocumentCode
1563444
Title
Expert pattern recognition assessment of image quality
Author
Tomich, Daniel J. ; Quincy, Edmund A. ; Parsavand, Dara
Author_Institution
Nat. Telecommun. & Inf. Adm., US Dept. of Commerce, Boulder, CO, USA
fYear
1989
Firstpage
1799
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 features of a received image with unknown transmission impairments. An example of a candidate feature is provided. The system provides quality classification on a minimum probability-of-error basis relative to subjective classification. The expert system uses statistical pattern recognition to perform low-level processing and an initial classification. Additional knowledge about subjective classification, visual perception, user requirements, and application bias can be applied by the expert system to refine the classification
Keywords
computerised pattern recognition; computerised picture processing; expert systems; application bias; expert pattern recognition; image quality; low-level processing; minimum probability-of-error basis; statistical pattern recognition; subjective classification; user requirements; video transmission quality; visual perception; Codecs; Decoding; Expert systems; Image quality; Pattern recognition; Quality assessment; Standards development; TV; Teleconferencing; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1989. ICASSP-89., 1989 International Conference on
Conference_Location
Glasgow
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1989.266800
Filename
266800
Link To Document