Security and monitoring systems are increasingly being deployed to control and prevent abnormal events especially in situational awareness applications before irreversible damages occur including national security, deaths and infrastructure destructions but to name a few. For example, the security and protection of airports, national infrastructures, and private or public services require cost effective solutions for use both in low or high risk environments. Such solutions would lead to increased security levels thus resulting in higher societal and economic impact. With the continuous rapid development of high-performance computing tools and technologies and the availability of cost-effective distributed sensor nodes Video-surveillance is currently experiencing a rather spectacular turning point, and particularly with the renewed interest in artificial intelligence and in particular approaches based on machine learning paradigm. One of the most challenging problem in video-surveillance is how to control the quality of the acquired signal. Indeed, video-based surveillance systems often suffer from poor-quality video and especially in uncontrolled environment which may induce several types of distortions such as noise, uneven illumination, blur, saturation and atmospheric degradations. This may strongly affect the performance of high-level tasks such as visual tracking, abnormal event detection or more generally scene understanding and interpretation. This talk will focus on the most important tasks and difficulties related to the perceptual quality of the acquired or transmitted images/videos in uncontrolled environments. I will discuss some challenges, solutions, preliminary results, and promising avenues to move towards completely intelligent end-to-end systems.

Biography

Dr. Azeddine BEGHDADI is Full Professor at University Sorbonne Paris Nord since 2000. He is the founding member of the Laboratory of Information Processing and Transmission (L2TI laboratory) and was its director   from 2010 to 2016. Dr. Beghdadi is the founder and Steering Committee Chair of the European Workshop on Visual Information Processing (EUVIP). Dr Beghdadi started his education at ENS Polytechnique and the Institute of Physics at University Es Senia (Oran,Algeria). He joined the graduate engineering school ENSTelecom in Paris in 1980. He received Diplôme d’Etudes Approfondies in Optics and Signal Processing from University Paris-Saclay in June 1983 and the PhD in Optics and Signal Processing from Sorbonne University Pierre and Marie in June 1986. Dr. Beghdadi worked at different places, including « Laboratoire d’Optique des Solides » (CNRS, Sorbonne University) and LPMTM CNRS Laboratory (University Sorbonne Paris Nord). He has co-authored more than 300 peer-reviewed journal and conference papers including 6 best paper awards and has given over 30 invited and plenary talks. He supervised more than 40 PhD/Post-Doc and around 35 master students His research interests include image/video quality enhancement and assessment, bio-inspired models for image analysis and processing, and physics-based image analysis and processing. Dr Beghdadi is associate editor of IEEE Transactions on Multimedia, “Signal processing : Image Communication”, Journal, Elsevier, European journal on image and video processing, Springer Verlag,  and Mathematical Problems in Engineering, Journal, Hindawi. He also served on the editorial board of the Journal of Electronic Imaging, SPIE Digital Library (2018-2020). He served as conference chair, technical chair and area chair of more than 15 international conferences. He has been involved in more than 10 major research projects as principal or co-principal investigator leader. He also served as session organizer and a member of the organizing and technical committees in several IEEE conferences. Dr Beghdadi is an elected member of IEEE-MMSP TC and an elected member of EURASIP VIP-TAC. He is a senior member of IEEE, EURASIP member and IEEE-MMTC member.

Personal Webpage : https://www-l2ti.univ-paris13.fr/~beghdadi/.