Full-Reference Video Quality Metric for Fully Scalable and Mobile SVC Content

2010 ◽  
Vol 56 (3) ◽  
pp. 269-280 ◽  
Author(s):  
Hosik Sohn ◽  
Hana Yoo ◽  
Wesley De Neve ◽  
Cheon Seog Kim ◽  
Yong Man Ro
Keyword(s):  
Video Quality ◽  
Quality Metric ◽  
Full Reference ◽  
Video Quality Metric

Toward an Impairment Metric for Stereoscopic Video: A Full-Reference Video Quality Metric to Assess Compressed Stereoscopic Video

2013 ◽  
Vol 22 (9) ◽  
pp. 3392-3404 ◽  
Author(s):  
Varuna De Silva ◽  
Hemantha Kodikara Arachchi ◽  
Erhan Ekmekcioglu ◽  
Ahmet Kondoz
Keyword(s):  
Video Quality ◽  
Stereoscopic Video ◽  
Quality Metric ◽  
Full Reference ◽  
Video Quality Metric

Full-reference audio-visual video quality metric

2014 ◽  
Vol 23 (6) ◽  
pp. 061108 ◽  
Author(s):  
Helard Becerra Martinez ◽  
Mylène C. Q. Farias
Keyword(s):  
Video Quality ◽  
Quality Metric ◽  
Full Reference ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual System

2012 ◽  
Vol 58 (2) ◽  
pp. 147-152
Author(s):  
Michal Mardiak ◽  
Jaroslav Polec
Keyword(s):  
Mutual Information ◽  
Visual System ◽  
Human Visual System ◽  
Quality Evaluation ◽  
Video Quality ◽  
Evaluation Criteria ◽  
Test Sequence ◽  
Quality Metric ◽  
Two Stages ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual SystemIn this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.

Sign in / Sign up

Export Citation Format

Share Document