judith redi
judith redi
Head of Data Science at Miro
Verified email at miro.com - Homepage
Title
Cited by
Cited by
Year
Digital image forensics: a booklet for beginners
JA Redi, W Taktak, JL Dugelay
Multimedia Tools and Applications 51 (1), 133-162, 2011
3432011
Circular-ELM for the reduced-reference assessment of perceived image quality
S Decherchi, P Gastaldo, R Zunino, E Cambria, J Redi
Neurocomputing 102, 78-89, 2013
822013
Understanding the role of social context and user factors in video Quality of Experience
Y Zhu, I Heynderickx, JA Redi
Computers in Human Behavior 49, 412-426, 2015
802015
Text Clustering for Digital Forensics Analysis
S Decherchi, S Tacconi, J Redi, A Leoncini, F Sangiacomo, R Zunino
Computational Intelligence in Security for Information Systems, 29-36, 2009
802009
Color distribution information for the reduced-reference assessment of perceived image quality
JA Redi, P Gastaldo, I Heynderickx, R Zunino
IEEE Transactions on Circuits and Systems for Video Technology 20 (12), 1757 …, 2010
732010
Interactions of visual attention and quality perception
J Redi, H Liu, R Zunino, I Heynderickx
Human Vision and Electronic Imaging XVI 7865, 78650S, 2011
632011
Crowdsourcing-based multimedia subjective evaluations: a case study on image recognizability and aesthetic appeal
J Redi, T Hoßfeld, P Korshunov, F Mazza, I Povoa, C Keimel
Proceedings of the 2nd ACM international workshop on Crowdsourcing for …, 2013
592013
Supporting visual quality assessment with machine learning
P Gastaldo, R Zunino, J Redi
EURASIP Journal on Image and Video Processing 2013 (1), 1-15, 2013
552013
Lighting to make you feel better: improving the mood of elderly people with affective ambiences
A Kuijsters, J Redi, B de Ruyter, I Heynderickx
PloS one 10 (7), e0132732, 2015
502015
Modeling task complexity in crowdsourcing
J Yang, J Redi, G Demartini, A Bozzon
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (1), 2016
472016
Best Practices and Recommendations for Crowdsourced QoE-Lessons learned from the Qualinet Task Force” Crowdsourcing”
T Hoßfeld, M Hirth, J Redi, F Mazza, P Korshunov, B Naderi, M Seufert, ...
472014
Crowdsourcing for Rating Image Aesthetic Appeal: Better a Paid or a Volunteer Crowd?
J Redi, I Povoa
Proceedings of the 2014 International ACM Workshop on Crowdsourcing for …, 2014
392014
Comparing subjective image quality measurement methods for the creation of public databases
J Redi, H Liu, H Alers, R Zunino, I Heynderickx
Image Quality and System Performance VII 7529, 752903, 2010
382010
Affective ambiences created with lighting for older people
A Kuijsters, J Redi, B de Ruyter, P Seuntiëns, I Heynderickx
Lighting Research & Technology 47 (7), 859-875, 2015
332015
No-reference quality assessment of JPEG images by using CBP neural networks
P Gastaldo, G Parodi, J Redi, R Zunino
Artificial Neural Networks–ICANN 2007, 564-572, 2007
332007
How Passive Image Viewers Became Active Multimedia Users
JA Redi, Y Zhu, H de Ridder, I Heynderickx
Visual Signal Quality Assessment, 31-72, 2015
292015
A Reliable Methodology to Collect Ground Truth Data of Image Aesthetic Appeal
E Siahaan, A Hanjalic, J Redi
IEEE Transactions on Multimedia, 2016
272016
Studying the effect of optimizing the image quality in saliency regions at the expense of background content
H Alers, J Redi, H Liu, I Heynderickx
Journal of Electronic Imaging 22 (4), 043012, 2013
272013
Machine learning solutions for objective visual quality assessment
P Gastaldo, JA Redi
6th international workshop on video processing and quality metrics for …, 2012
272012
Blind image quality assessment via vector regression and object oriented pooling
J Gu, G Meng, JA Redi, S Xiang, C Pan
IEEE Transactions on Multimedia 20 (5), 1140-1153, 2017
252017
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