Tag Archives: Video Analysis

Teaching activity

I have mostly taught in Bordeaux during my PhD and during a research and teaching assistant position after my PhD. I have recently gave a lecture on Video Coding and Representation in Italian. Up to now, my teaching activities account for 200+ hours.

  • University of Florence: (In Italian)
    • Lecture Course on Video Coding and Representation (MPEG4-MPEG7), BSc level
  • IUT Bordeaux 1 : (In French)
    • Lecture Course on Video Analysis, BSc level
  • ENSEIRB : (In French)
    • Practicals on Video Indexing, MSc level, option “Multimedia Technologies”
    • Project on Video Analysis, MSc level, option “Multimedia Technologies”
    • Tutorial Class on Work Environment, BSc level
    • Programming Projects, BSc level
  • University of Bordeaux 1 : (In French)
    • Computer Science and Internet Certificate (C2I), BSc level
    • Softwares – Rebound Semester, BSc level
    • Master students’ internships follow-up

About me

I am a French Computer Vision and Machine Learning researcher currently a Postdoctoral researcher in the DVMM Lab at Columbia University. Previously, I have spent three great years at the MICC (Media Integration and Communication Center) of the University of Florence in Italy.

Research themes

My research themes are image and video analysis, computer vision and machine learning. I am particularly interested in semantic concepts recognition in images and videos.

I have made my PhD at the LaBRI – University of Bordeaux, under the supervision of Jenny Benois-Pineau and Rémi Mégret. During my PhD thesis, I have worked on human activities recognition by Hidden Markov Models (HMM) in videos recorded from a wearable device within the IMMED project. I have also developed an object recognition approach in the Bag-of-Visual-Words framework which integrates spatial information within semi-local features: the Graph-Words. I defended my PhD entitled “Indexing of Activities in Wearable Videos : Application to Epidemiological Studies of Aged Dementia” in 2011.

While at the MICC, I have been highly involved in the MNEMOSYNE project. In this project multiple aspects of computer vision such as person detection, person tracking and re-identification are used to passively profile the interests of visitors in a museum to provide personalized multimedia content delivery. I was also still working on more general image and video classification problems.

I have joined the DVMM Lab where I will be working on face recognition and hashing for image retrieval problems.


Computer Vision, Machine Learning, Image Analysis, Video Analysis, Video Indexing, Object Recognition, Person Detection, Re-Identification, Passive Profiling, Behavior Analysis, Action Recognition…