| Digital image forensics: a booklet for beginners JA Redi, W Taktak, JL Dugelay Multimedia Tools and Applications 51 (1), 133-162, 2011 | 331 | 2011 |
| 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 | 82 | 2013 |
| 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 | 80 | 2015 |
| 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 | 78 | 2009 |
| 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 | 72 | 2010 |
| Interactions of visual attention and quality perception J Redi, H Liu, R Zunino, I Heynderickx Human Vision and Electronic Imaging XVI 7865, 78650S, 2011 | 63 | 2011 |
| 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 | 56 | 2013 |
| 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 | 54 | 2013 |
| 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, ... | 45 | 2014 |
| 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 | 44 | 2015 |
| 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 | 42 | 2016 |
| 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 | 38 | 2010 |
| 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 | 37 | 2014 |
| 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 | 33 | 2007 |
| 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 | 32 | 2015 |
| How Passive Image Viewers Became Active Multimedia Users JA Redi, Y Zhu, H de Ridder, I Heynderickx Visual Signal Quality Assessment, 31-72, 2015 | 29 | 2015 |
| A Reliable Methodology to Collect Ground Truth Data of Image Aesthetic Appeal E Siahaan, A Hanjalic, J Redi IEEE Transactions on Multimedia, 2016 | 27 | 2016 |
| Machine learning solutions for objective visual quality assessment P Gastaldo, JA Redi 6th international workshop on video processing and quality metrics for …, 2012 | 27 | 2012 |
| 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 | 26 | 2013 |
| 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 | 25 | 2017 |
Ingrid HeynderickxEindhoven University of TechnologyVerified email at tue.nl
