| S. Wolf, "Features for Automated Quality Assessment of Digitally Transmitted Video," US Department of Commerce, National Telecommunications and Information Administration Report 90-264, June, 1990. |
....is then tuned to maximize correlation with subjective tests. On the same line F. Lin et al. 11] Davies [12] and Webster [13] have developed a non linear neural network model for image quality assessment. On the same principles a quantitative video quality metric has been designed by Wolf et al. [14] at Institute for Telecommunication Sciences (ITS) in Colorado. 2.3 Metrics based on Human Visual System The second line of thought bases the metric on physiological evidences. Following this concept the metric mimics the human evaluation by modeling closely the initial stages of the human ....
S. Wolf. "Features for Automated Quality Assessment of Digitally Transmitted Video". U.S. dept. of commerce, Nat. Telecomm. and Inf. Adm. report, pp. 90--264, June 1990.
No context found.
S. Wolf, "Features for Automated Quality Assessment of Digitally Transmitted Video," US Department of Commerce, National Telecommunications and Information Administration Report 90-264, June, 1990.
No context found.
S. Wolf, "Features for automated quality assessment of digitally transmitted video," Tech. Rep. 90-264, US Department of Commerce, National Telecommunications and Information Administration, June 1990.
No context found.
S. Wolf, "Features for automated quality assessment of digitally transmitted video," Tech. Rep. 90-264, US Department of Commerce, National Telecommunications and Information Administration, June 1990.
No context found.
S. Wolf. "Features for Automated Quality Assessment of Digitally Transmitted Video". U.S. dept. of commerce, Nat. Telecomm. and Inf. Adm. report, pp. 90--264, June 1990.
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