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
Link To Document :
بازگشت