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
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;
Conference_Titel :
Ubiquitous and Future Networks (ICUFN), 2012 Fourth International Conference on
Conference_Location :
Phuket
Print_ISBN :
978-1-4673-1377-3
Electronic_ISBN :
2165-8528
DOI :
10.1109/ICUFN.2012.6261724
