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
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);
Conference_Titel :
Computer and Automation Engineering, 2009. ICCAE '09. International Conference on
Conference_Location :
Bangkok
Print_ISBN :
978-0-7695-3569-2
DOI :
10.1109/ICCAE.2009.51
