Book Chapters
Journal Papers
Conference papers

Most of my Publications are also available on my Research Gate Page and of course on Google Scholar.

Book Chapters

  1. Redi J, Zhu Y, de Ridder H, Heynderickx, I, “How Passive Image Viewers Became Active Multimedia Users”, In Visual Signal Quality Assessment (pp. 31-72). Springer International Publishing, 2015

Journal Papers

  1. Silva, A, Farias, MCQ, and Redi, J, “Perceptual Strength Models for Videos with Combinations of Spatial-Temporal Artifacts”, IEEE Transactions on Multimedia, Accepted, in press, 2016.
  2. Kuijsters, A, Redi, J, de Ruyter, B, and Heynderickx, I, “Inducing sadness and anxiousness through visual media: measurement techniques and persistence”, Frontiers in Psychology, Vol. 7, 2016
  3. Siahaan, E, Hanjalic, A, and Redi, J, “A reliable methodology to collect ground truth data of image aesthtetic appeal”, IEEE Transactions on Multimedia, Accepted, in press, 2016
  4. Katsimerou, C., Heynderickx, I, and Redi, J, “Crowdsourcing empathetic intelligence: the case of the annotation of EMMA database for emotion and mood recognition“, ACM Transactions on Intelligent Systems and Technology, to appear, 2016
  5. Kuijsters, A, Redi, J, de Ruyter, B, and Heynderickx, I, “Lighting to Make You Feel Better: Improving the Mood of Elderly People with Affective Ambiences”. PloS one, 10(7), e0132732, 2015
  6. Zhu, Y, Heynderickx, I, and Redi, J, “Understanding the role of social context and user factors in video Quality of Experience”, Computers in Human Behavior, 49, 412-426, 2015
  7. Alers, H, Redi, J, Liu, H, and Heynderickx, I, “Effects of Task and Image Properties on Visual Attention Deployment in Image Quality Assessment”, Journal of Electronic Imaging, 4(2), 023030, 2015
  8. Katsimerou K, Heynderickx I and Redi J, “Predicting mood from punctual emotion annotations on videos”, IEEE Transactions on Affective Computing, vol.6, no.2, pp.179-192, April-June 1 2015
  9. Alers H, Redi J and Heynderickx I, “Quantifying the importance of preserving video quality in visually important regions at the expense of background content”, in Signal Processing: Image Communication, 32, 69-80, 2015
  10. Kuijsters A, Redi J, de Ruyter B, Seuntiëns P, Heynderickx I, “Affective ambiences created with lighting for elderly people”, Journal of Lighting Research and Technology, 2014
  11. Alers H, Redi J, Liu H, Heynderickx I, “Studying the effect of optimizing image quality in salient regions at the expense of background content”. J. Electron. Imaging., 0001;22(4):043012-043012,  2013
  12. Gastaldo, P, Zunino, R, Redi, J, “Supporting Visual Quality Assessment with Machine Learning”, EURASIP Journal on Image and Video Processing, accepted, in press, 2013
  13. Decherchi, S, Gastaldo P, Redi JA, Zunino R, Cambria E, “Circular-ELM for the Reduced-Reference Assessment of Perceived Image Quality” Neurocomputing, Vol. 102, 2013
  14. Redi J, Gastaldo P, Zunino R, “A two-layer neural system for reduced-reference visual quality assessment,” Journal of Artificial Intelligence and Soft Computing Research, 1(1):27-42, 2011
  15. Redi J, Taktak W, Dugelay JL, “Digital Image Forensics: a booklet for beginners”,  Journal of Multimedia Tools and Applications, Special Issue on Survey Papers in Multimedia by World Experts 51(1): 133-162, 2011
  16. Liu H, Redi J, Alers H, Zunino R and Heynderickx I, “Efficient neural-network–based no-reference approach to an overall quality metric for JPEG and JPEG2000 compressed images“, Journal of Electronic Imaging 20(4): 1-15, 2011
  17. Redi J, Gastaldo P, Heynderickx I, Zunino R, “Color Distribution Information for the Reduced-Reference Assessment of Perceived Image Quality”, IEEE Transactions on Circuits and Systems for Video Technology. 20(12):1745-1756, 2010
  18. Decherchi S, Tacconi S, Redi J, Leoncini A, Sangiacomo F, Zunino R, ”Text Clustering for Digital Forensics Analysis,” Journal of Information Assurance and Security, No. 5(1): 384-391, 2010
  19. Decherchi S, Gastaldo P, Redi J and Zunino R, “A Text Clustering Framework for Information Retrieval“, Journal of Information Assurance and Security,  4(2):174-182, 2009

Conference Papers:

  1. Zhu, Y, Hanjalic, A, and Redi, J, ”QoE Prediction for Enriched Assessment of Individual Video Viewing Experience”, In Proceedings of the 2016 ACM on Multimedia Conference (pp. 801-810). ACM, 2016
  2. Yang, J, Redi, J, Demartini, G and Bozzon, A, “Modeling Task Complexity in Crowdsourcing”, accepted for the fourth AAAI Conference on Human Computation and Crowdsourcing (Long Paper), 2016
  3. Schmitt, M., Redi, J, Cesar, P, and Bulterman, D., “1Mbps is enough: Video Quality and Individual Idiosyncrasies in Multiparty HD Video-Conferencing”, Eight International Workshop on Multimedia Quality of Experience (QoMEX 2016), 2016.
  4. Schmitt, M., Redi, J. and Cesar, P, “Towards context-aware interactive Quality of Experience evaluation for audiovisual multiparty conferencing“. In proc. PQS 2016 5th ISCA/DEGA Workshop on Perceptual Quality of Systems, pp. 64-68, 2016.
  5. Silva, A, Farias, MCQ, and Redi, J, “Annoyance Models for Videos with Spatio-Temporal Artifacts”, Eight International Workshop on Multimedia Quality of Experience (QoMEX 2016), 2016.
  6. Siahaan, E, Hanjalic, A, and Redi, J, “Does visual quality depend on semantics? A study on the relationship between impairment annoyance and image semantics at early attentive stages
  7. ” In Proc. IS&T Electronic Imaging Symposium 2016 – Human Vision and Electronic Imaging, 2016
  8. Redi, J, Siahaan, E, Korshunov, P, Habigt, J, & Hossfeld, T, “When the Crowd Challenges the Lab: Lessons Learnt from Subjective Studies on Image Aesthetic Appeal” In Proceedings of the Fourth International Workshop on Crowdsourcing for Multimedia (pp. 33-38). ACM.
  9. Huldtgren, A, Katsimerou, C, Kuijsters, A, Redi,  J, and Heynderickx, I, “Design considerations for adaptive lighting to improve seniors’ mood.” In Inclusive Smart Cities and e-Health, pp. 15-26. Springer International Publishing, 2015.
  10. Kaptein, R, Zhu, Y, Koot, G, Redi, J, & Niamut, O, “Retrieving Relevant and Interesting Tweets During Live Television Broadcasts” In Current Trends in Web Engineering (pp. 175-185). Springer International Publishing, 2015.
  11. Freitas, PG, Redi, J, Farias, MC and Silva, AF, “Video Quality Ruler: A New Experimental Methodology for Assessing Video Quality”, Seventh International Workshop on Multimedia Quality of Experience (QoMEX 2015), 2015.
  12. Hossfeld, T, and Redi, J, “Journey through the crowd: Best Practices and Recommendations for Crowdsourced QoE”, Seventh International Workshop on Multimedia Quality of Experience (QoMEX 2015), 2015.
  13. Redi J, D’Acunto L, and Niamut, O, “Interactive UHDTV at the Commonwealth Games – An Explorative Evaluation”, ACM TVX 2015
  14. D’acunto, L, Redi, J, and Niamut, O, “iCaCoT – interactive Camera-based Coaching and Training”, 3rd International Workshop on Interactive Content Consumption at TVX’15, WSICC 2015, 2015 (Best Paper Award!)
  15. Zhu Y, Heynderickx I and Redi J, “Towards a model for personalized prediction of quality of visual experiences”, In IS&T/SPIE Electronic Imaging (pp. 93940A-93940A). International Society for Optics and Photonics, 2015
  16. Fieno da Silva A, Farias M and Redi J, “Assessing the Influence of Combinations of Blockiness, Blurriness and Packet Loss Impairments on Visual Attention Deployment”, In IS&T/SPIE Electronic Imaging (pp. 93940Z-93940Z). International Society for Optics and Photonics, 2015
  17. Katsimerou C and Redi J, “Neural prediction of the user’s mood from visual input”, 5th International Workshop on Empathic Computing (IWEC 2014), 2014
  18. Redi, J, and Povoa, I, “Crowdsourcing for rating image aesthetic appeal: better a paid or a volunteer crowd?”, Third International ACM workshop on crowdsourcing for Multimedia (CrowdMM 2014), ACMMM workshops, 2014
  19. Zhang, T, Nefs, H, Redi, J and Heynderickx, I, “The aesthetic appeal of depth of field in photographs”, Sixth International Workshop on Quality of Multimedia Experience (QoMEX 2014), 2014
  20. Siahaan, E, Redi, J and Hanjalic, A, “Beauty is in the scale of the beholder: a comparison of methodologies for the subjective assessment of image aesthetic appeal”, Sixth International Workshop on Quality of Multimedia Experience (QoMEX 2014), 2014, accepted
  21. Hines, H, Kendrick, P, Barri, A, Narwaria, M, and Redi, J “Robustness and Prediction Accuracy of Machine Learning for Objective Visual Quality Assessment”, European Signal Processing Conference (EUSIPCO 2014), 2014
  22. Katsimerou C, Redi J, and Heynderickx I, “A computational model for mood recognition”, 22nd  Conference on User Modeling, Adaptation and Personalization (UMAP 2014), 2014
  23. Zhu Y, Heynderickx I and Redi J, “Alone or together: measuring users’ viewing experience in different social contexts“, Proc. SPIE 9014, Human Vision and Electronic Imaging XIX, 90140W, 2014 (Best Paper Award!)
  24. Redi J, Hossfeld T, Koshunov P, Mazza F, Povoa I and Keimel C, “Crowdsourcing-based Multimedia Subjective Evaluations: A Case Study on Image Recognizability and Aesthetic Appeal”,  in Proc. 2nd ACM International Workshop on Crowdsourcing for Multimedia (CrowdMM2013), ACM Multimedia Workshops, 2013.
  25. Redi J, Povoa I, “The role of visual attention in the aesthetic appeal of consumer images: a preliminary study”, in proc. International Conference on Video Communication and Image Processing (VCIP 2013), 2013
  26. Redi J, Heynderickx I, Farias M, Macchiavello B, “On the impact of packet-loss impairments on visual attention mechanisms”, in Proc. IEEE International Conference on Circuits and Systems (ISCAS 2013), 2013
  27. Katsimerou C, Redi J, Heynderickx I, “face detection in intelligent ambiences with colored illumination”, in Proc. International Symposium on Ambient Intelligence, 2013
  28. Farias M, Heyinderickx I, Machiavello B and Redi J, “Visual Artifacts Understanding and Modeling (VARIUM)”, International Workshop on Video Processing and Quality Metrics (VPQM 2013), 2013
  29. Redi J, “Visual quality beyond artifact visibility”, in proc. SPIE Electronic Imaging Symposium 2013 – Human Vision and Electronic Imaging XVIII, 2013.
  30. Redi J, “The aesthetic side of Quality of Experience”, in Proc. SID Latindisplay 2012
  31. Kuijsters, A., Redi, J, de Ruiter, B. and Heynderickx, I., “Effects of ageing on atmosphere perception” Accepted for Publication in Proc. Experiencing Light, 2012
  32. Redi, J, Heynderickx I  “Image Integrity and Aesthetics: towards a more encompassing definition of Visual Quality”, SPIE Electronic Imaging Symposium 2012 – Human Vision and Electronic Imaging XVII, In Press
  33. Alers, H, Redi, J, Heynderickx, I, “Examining the effect of task on viewing behavior in videos using saliency maps”, SPIE Electronic Imaging Symposium 2012 – Human Vision and Electronic Imaging XVII, In Press
  34. Gastaldo, P and Redi, J “Machine Learning solutions for Objective Visual Quality Assessment”, Sixth international workshop on Video Processing and Quality Metrics (VPQM 2012)
  35. Kuijsters, A, Redi, J, de Ruyter, B, Heynderickx , I, “Improving the mood of elderly with coloured lighting”, in proc. of the Role of Ambient Intelligence in Future Lighting Systems Workshop at the Ambience Intelligence Conference, 2011
  36. Redi, J, Heynderickx I, “Image quality and visual attention interactions: towards a more reliable analysis in the saliency space” International workshop on Quality of Multimedia Experience (QoMEX 2011), 2011
  37. Liu, H, Wang J, Redi J, Le Callet P, Heynderickx I, “An Efficient No-Reference Metric for Perceived Blur”, European Workshop on Visual Information Processing -EUVIP 2011, 2011
  38. Redi, J, Liu H, Zunino R, Heynderickx I, “Interactions of visual attention and quality perception”, IS&T/SPIE Electronic Imaging 2011 and Human Vision and Electronic Imaging XVI, 2011
  39. Redi J, Liu H, Zunino R, Heynderickx I, “Comparing subjective image quality measurement methods for the creation of public databases ”,  IS&T/SPIE Electronic Imaging 2010 and Image Quality and System Performance VII, 2010
  40. Liu H, Redi J, Zunino R, Heynderickx I, “No-reference Image Quality Assessment Based on Localized Gradient Statistics: Application to JPEG and JPEG2000 ”, IS&T/SPIE Electronic Imaging 2010 and Human Vision and Electronic Imaging XV, 2010
  41. Alers H, Liu H, Redi J, Heynderickx I, “Studying the effect of optimizing the image quality in saliency regions at the expense of background content” IS&T/SPIE Electronic Imaging 2010 and Image Quality and System Performance VII, 2010
  42. Redi J, Liu H, Gastaldo P, Zunino R, Heynderickx I, “How to apply spatial saliency into objective metrics for JPEG compressed images?”, Proceedings of the IEEE International Conference on Image Processing, ICIP 2009, Cairo, 2009
  43. Redi J, Gastaldo P, Zunino R, “Hybrid neural systems for reduced-reference image quality assessment”, Proceedings of the International Conference on Artificial Neural Networks, ICANN 2009, Limassol, 2009
  44. Redi J, Gastaldo P, Zunino R, Heynderickx I, “Reduced-reference Assessment of Perceived Quality by Exploiting Color Information”, Proceedings of the Video Processing and Quality Metrics for Consumers Electronics Workshop, VPQM 2009, Scottsdale, 2009
  45. Decherchi S, Gastaldo P, Redi J, Zunino R, Decherchi S, Gastaldo P, Redi J, Zunino R, “Maximal-Discrepancy bounds for margin-maximizing classifiers”, Proceedings of the International Joint Conference on Neural Networks, IJCNN 2009, Atlanta, 2009
  46. Decherchi S, Tacconi S, Redi J, Leoncini A, Sangiacomo L, Zunino R, “Text Clustering for Digital Forensics Analysis”, Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems – CISIS’09, Burgos, 2009
  47. Redi J, Gastaldo P, Zunino R, Heynderickx I, “Co-occurrence matrixes for the quality assessment of coded images”, Proceedings of the Int.Conference on Artif. Neur. Networks – ICANN’08, Prague , 2008
  48. Decherchi S, Gastaldo P, Redi J, Zunino R, ”Non-stationary Data Mining: the Network Security Issue”, Int.Conference on Artif. Neur. Networks – ICANN’08, Prague, 2008
  49. Decherchi S, Gastaldo P, Redi J and Zunino R, “Hypermetric k-Means Clustering for Content-based Document Management “, Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems – CISIS’08, Genova, 2008
  50. Gastaldo P, Parodi G, Redi J, Zunino R “No-reference quality assessment of JPEG images by using CBP neural networks”, Int. Conf. Artif. Neural Networks – ICANN 2007, Oporto, Springer, Lecture Notes in Computer Science #4669, Part II, Springer, pp.564-572, 2007
  51. Redi J, Gastaldo P, Parodi G, Zunino R, “Co-occurrence matrixes for the quality assessment of coded images”, IEEE Int.Symp. Industrial Electronics – ISIE 2007, Vigo, Spain, pp. 1584-1589, 2007
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