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Toni Virtanen
Toni Virtanen
Researcher at Visual Cognition -researchgroup, Department of Behavioural science, University of
Zweryfikowany adres z helsinki.fi
Tytuł
Cytowane przez
Cytowane przez
Rok
CID2013: A database for evaluating no-reference image quality assessment algorithms
T Virtanen, M Nuutinen, M Vaahteranoksa, P Oittinen, J Häkkinen
IEEE Transactions on Image Processing 24 (1), 390-402, 2014
1772014
CVD2014—A database for evaluating no-reference video quality assessment algorithms
M Nuutinen, T Virtanen, M Vaahteranoksa, T Vuori, P Oittinen, J Häkkinen
IEEE Transactions on Image Processing 25 (7), 3073-3086, 2016
1492016
Evaluating the multivariate visual quality performance of image-processing components
J Radun, T Leisti, T Virtanen, J Häkkinen, T Vuori, G Nyman
ACM Transactions on Applied Perception (TAP) 7 (3), 1-16, 2008
322008
Subjective experience of image quality: attributes, definitions, and decision making of subjective image quality
T Leisti, J Radun, T Virtanen, R Halonen, G Nyman
Image Quality and System Performance VI 7242, 130-138, 2009
292009
Categorization of natural dynamic audiovisual scenes
O Rummukainen, J Radun, T Virtanen, V Pulkki
PloS one 9 (5), e95848, 2014
262014
Explaining multivariate image quality-Interpretation-based quality approach
J Radun, T Virtanen, G Nyman, JL Olives
ICIS'06: International Congress of Imaging Science, 7-12 May 2006, Rochester …, 2006
222006
Evaluation of the visual performance of image processing pipes: information value of subjective image attributes
G Nyman, J Häkkinen, EM Koivisto, T Leisti, P Lindroos, O Orenius, ...
Image Quality and System Performance VII 7529, 42-51, 2010
162010
VQone MATLAB toolbox: a graphical experiment builder for image and video quality evaluations: VQone MATLAB toolbox
M Nuutinen, T Virtanen, O Rummukainen, J Häkkinen
Behavior research methods 48, 138-150, 2016
152016
Image feature subsets for predicting the quality of consumer camera images and identifying quality dimensions
M Nuutinen, T Virtanen, P Oittinen
Journal of Electronic Imaging 23 (6), 061111-061111, 2014
152014
A new method for evaluating the subjective image quality of photographs: dynamic reference
M Nuutinen, T Virtanen, T Leisti, T Mustonen, J Radun, J Häkkinen
Multimedia Tools and Applications 75, 2367-2391, 2016
142016
Forming valid scales for subjective video quality measurement based on a hybrid qualitative/quantitative methodology
T Virtanen, J Radun, P Lindroos, S Suomi, T Säämänen, T Vuori, ...
Image Quality and System Performance V 6808, 205-215, 2008
142008
Audiovisual quality estimation of mobile phone video cameras with interpretation-based quality approach
JE Radun, T Virtanen, JL Olives, M Vaahteranoksa, T Vuori, G Nyman
Image Quality and System Performance IV 6494, 14-24, 2007
122007
Concurrent explanations can enhance visual decision making
T Leisti, J Radun, T Virtanen, G Nyman, J Häkkinen
Acta psychologica 145, 65-74, 2014
102014
Performance measure of image and video quality assessment algorithms: subjective root-mean-square error
M Nuutinen, T Virtanen, J Häkkinen
Journal of Electronic Imaging 25 (2), 023012-023012, 2016
72016
Measuring multivariate subjective image quality for still and video cameras and image processing system components
G Nyman, T Leisti, P Lindroos, J Radun, S Suomi, T Virtanen, JL Olives, ...
Image Quality and System Performance V 6808, 216-224, 2008
72008
Why is quality estimation judgment fast? Comparison of gaze control strategies in quality and difference estimation tasks
J Radun, T Leisti, T Virtanen, G Nyman, J Häkkinen
Journal of Electronic Imaging 23 (6), 061103-061103, 2014
62014
Image quality wheel
T Virtanen, M Nuutinen, J Häkkinen
Journal of Electronic Imaging 28 (1), 013015-013015, 2019
52019
Features for predicting quality of images captured by digital cameras
M Nuutinen, P Oittinen, T Virtanen
2012 IEEE International Symposium on Multimedia, 165-168, 2012
52012
How do we watch images? A case of change detection and quality estimation
J Radun, T Leisti, T Virtanen, G Nyman
Image Quality and System Performance IX 8293, 201-212, 2012
52012
Videospace: classification of video through shooting context information
T Säämänen, T Virtanen, G Nyman
Image Quality and System Performance VII 7529, 52-58, 2010
42010
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