DocumentCode
3036823
Title
Analysis and Modelling of No-Reference Video Quality Assessment
Author
Tian, Yuan ; Zhu, Ming
Author_Institution
Changchun Inst. of Opt., Chinese Acad. of Sci., Changchun
fYear
2009
fDate
8-10 March 2009
Firstpage
108
Lastpage
112
Abstract
Video processing system may introduce some amounts of distortions in the video signal. It is crucial to measure the video quality blindly for most image processing applications which could not obtain the original image. Different video quality assessment (VQA) methods are analysis in this paper. A state of art in the field of no-reference (NR) VQA is presented. Finally, an ideal NR VQA model is proposed.
Keywords
distortion; video signal processing; image processing; no-reference video quality assessment analysis; no-reference video quality assessment modelling; video processing system; video signal distortion; Feature extraction; Humans; Network servers; Optical distortion; Optical receivers; PSNR; Physics; Quality assessment; Testing; Visual system; human visual system (HVS); no-reference (NR); objective method; video quality assessment(VQA);
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Automation Engineering, 2009. ICCAE '09. International Conference on
Conference_Location
Bangkok
Print_ISBN
978-0-7695-3569-2
Type
conf
DOI
10.1109/ICCAE.2009.51
Filename
4804498
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