DocumentCode
2404195
Title
New Full-Reference Visual Quality Assessment Based on Human Visual Perception
Author
Lee, Seon-Oh ; Sim, Dong-Gyu
Author_Institution
Kwangwoon Univ., Kwangwoon
fYear
2008
fDate
9-13 Jan. 2008
Firstpage
1
Lastpage
2
Abstract
This paper presents an objective video quality evaluation method for quantifying the subjective quality of digital mobile videos. The proposed method aims to objectify the subjective quality by extracting edge region features and blockiness parameters. To evaluate the proposed algorithm´s performance, we carried out subjective video quality tests with the double-stimulus continuous quality scale (DSCQS) method and obtained differential mean opinion score (DMOS) values for 140 video clips (CIF/QCIF). We then compared the proposed method´s performance to that of existing methods in terms of DMOS estimation accuracy. Experimental results show that the proposed method is approximately 25% better than the EPSNR method in estimating actual DMOS values.
Keywords
feature extraction; video signal processing; visual perception; blockiness parameter; differential mean opinion score; digital mobile video; double-stimulus continuous quality scale; edge region features; feature extraction; human visual perception; subjective video quality; video quality evaluation; visual quality assessment; Codecs; Degradation; Feature extraction; Humans; Image edge detection; PSNR; Pixel; Quality assessment; Testing; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2008. ICCE 2008. Digest of Technical Papers. International Conference on
Conference_Location
Las Vegas, NV
Print_ISBN
978-1-4244-1458-1
Electronic_ISBN
978-1-4244-1459-8
Type
conf
DOI
10.1109/ICCE.2008.4587874
Filename
4587874
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