DocumentCode
2893342
Title
Video quality assessment based on Fast Structural Similarity index algorithm
Author
Zhen, Liu ; Yong, Sun ; Jingjing, Zhang ; Xiangming, Wen ; Tao, Su
Author_Institution
Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
fYear
2012
fDate
4-6 July 2012
Firstpage
336
Lastpage
339
Abstract
Objective quality measures play important roles in fast image and video quality assessment (VQA). In the paper, a Fast Structural Similarity (FSSIM) index algorithm, which modifies Structural Similarity (SSIM) to achieve a high speed of execution, is used to assess the quality of real-time video application. The experimental results show that the FSSIM index algorithm not only has competitive performance with normal SSIM for assessing video quality, but also has much lower computational complexity.
Keywords
quality of service; video signal processing; FSSIM index algorithm; fast structural similarity; quality measure; video quality assessment; Computational complexity; Distortion measurement; Indexes; Quality assessment; Real time systems; Streaming media; Video sequences; Fast Structural Similarity (FSSIM); computational complexity; real-time; video quality assessment;
fLanguage
English
Publisher
ieee
Conference_Titel
Ubiquitous and Future Networks (ICUFN), 2012 Fourth International Conference on
Conference_Location
Phuket
ISSN
2165-8528
Print_ISBN
978-1-4673-1377-3
Electronic_ISBN
2165-8528
Type
conf
DOI
10.1109/ICUFN.2012.6261724
Filename
6261724
Link To Document