A Locally Adaptive System for the Fusion of Objective Quality Measures
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: 2014شناسه الکترونیک: 10.1109/TIP.2014.2316379
کلیدواژه(گان): image processing,learning (artificial intelligence),visual perception,distortion classes,end-to-end quality monitoring,heteroscedastic training data,human visual system,interpretable machine learning system,locally adaptive fusion,locally adaptive system,machine learning systems,objective quality assessment,objective quality measures,perceptual quality,quality predictions,subjective quality assessment databases,Accuracy,Databases,Distortion,Distortion measurement,Quality asse
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A Locally Adaptive System for the Fusion of Objective Quality Measures
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contributor author | Barri, Adriaan | |
contributor author | Dooms, Ann | |
contributor author | Jansen, Bart | |
contributor author | Schelkens, Peter | |
date accessioned | 2020-03-12T23:57:19Z | |
date available | 2020-03-12T23:57:19Z | |
date issued | 2014 | |
identifier issn | 1057-7149 | |
identifier other | 6786302.pdf | |
identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1129300 | |
format | general | |
language | English | |
publisher | IEEE | |
title | A Locally Adaptive System for the Fusion of Objective Quality Measures | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 8309614 | |
subject keywords | image processing | |
subject keywords | learning (artificial intelligence) | |
subject keywords | visual perception | |
subject keywords | distortion classes | |
subject keywords | end-to-end quality monitoring | |
subject keywords | heteroscedastic training data | |
subject keywords | human visual system | |
subject keywords | interpretable machine learning system | |
subject keywords | locally adaptive fusion | |
subject keywords | locally adaptive system | |
subject keywords | machine learning systems | |
subject keywords | objective quality assessment | |
subject keywords | objective quality measures | |
subject keywords | perceptual quality | |
subject keywords | quality predictions | |
subject keywords | subjective quality assessment databases | |
subject keywords | Accuracy | |
subject keywords | Databases | |
subject keywords | Distortion | |
subject keywords | Distortion measurement | |
subject keywords | Quality asse | |
identifier doi | 10.1109/TIP.2014.2316379 | |
journal title | Image Processing, IEEE Transactions on | |
journal volume | 23 | |
journal issue | 6 | |
filesize | 3895409 | |
citations | 0 |