Jenny Benois-Pineau is a full professor of Computer Science at the University Bordeaux and chair of Video Analysis and Indexing research group in Image and Sound Department of LABRI Université Bordeaux. She is also chair of International relations at School of Science and Technology of University of Bordeaux comprising 9.500 students.  Her topics of interest include image and video analysis, artificial intelligence in multimedia and healthcare. She is the author and co-author of more than 200 papers in international journals, conference proceedings, books and book chapters. She has tutored and co-tutored 26 PhD students. She is associated editor of Signal Processing: Image Communication, Elsevier, Multimedia Tools and applications, Springer, senior associated editor JEI SPIE journals. She has served in numerous program committees in international conferences and organised workshops at: ACM MM, CIVR, CBMI, EI, MMM, IEEE ICIP, IEEE/IAPR ICPR and others and gave invited lectures in the universities of USA, Europe, Israel, Mexico. She has been coordinator or leading researcher in EU – funded and French national research projects and numerous projects with French Industrial companies. She is a member of IEEE TC on IVMSP. She was decorated by Knight of Academic Palms grade.


  • • Akka Zemmari, Jenny Benois-Pineau, “Deep Learning in Mining of Visual Content”. Springer Briefs in Computer Science, Springer 2020
  • • Pierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier, “Fine grained sport action recognition with Twin spatio-temporal convolutional neural networks”. Multimedia Tools and Applications, 2020
  • • Souad Chaabouni, Jenny Benois-Pineau, Chokri Ben Amar, “ChaboNet : Design of a deep CNN for prediction of visual saliency in natural video”. Journal on Visual Communication and Image Representation, 2019.
  • • Iván González-Díaz, Jenny Benois-Pineau, Jean-Philippe Domenger, Daniel Cattaert, Aymar de Rugy, “Perceptually-guided deep neural networks for ego-action prediction: Object grasping”, Pattern Recognition, 2019.
  • • Abraham Montoya Obeso, Jenny Benois-Pineau, Mireya S. García-Vázquez, Alejandro Alvaro Ramírez-Acosta, “Saliency-based selection of visual content for deep convolutional neural networks - Application to architectural style classification”. Multimedia Tools and Applications, 2019.
  • • Jessica Beltrán, Mireya S. García-Vázquez, Jenny Benois-Pineau, Luis Miguel Gutiérrez-Robledo, Jean-François Dartigues, “Computational Techniques for Eye Movements Analysis towards Supporting Early Diagnosis of Alzheimer's Disease: A Review”. Comput. Math. Methods Medicine 2018
  • • Georgios Meditskos, Pierre-Marie Plans, Thanos G. Stavropoulos, Jenny Benois-Pineau, Vincent Buso, Ioannis Kompatsiaris, “Multi-modal activity recognition from egocentric vision, semantic enrichment and lifelogging applications for the care of dementia”, Journal on Visual Communication and Image Representation, 2018.
We are using cookies to give you the best experience. You can find out more about which cookies we are using or switch them off in privacy settings.
AcceptPrivacy Settings