I am Mohamed Chelali, researcher at the crossroads of computer vision and artificial intelligence. My research activities focus on Image time series analysis, such as Satellite Image Time Serie (SITS) or videos.
Keywords : Video Processing, Tracking, Violence Detection, Satellite Image Processing, Image Time Series, Computer Vision, Remote Sensing.
Designed, prototyped and put into production an engine with artificial intelligence to summarize a video.
Internal consultant for the description of images in sentences, tags and other descriptors.
New constellations of satellites acquire images with a high spatial, spectral and temporal resolution around
the world leading to Satellite Image Time Series (SITS).
During my thesis, our objective is to analyse the image time serie in order to extract features that enrich
the orginal data and perform an application, such as
a classification, by maximazing the accuracy
Advisors: Nicole Vincent et Camille Kurtz
The master's was validated with a research internship at the LIPADE.
Advisors: Nicole Vincent, Camille Kurtz.
Spatio-temporal hand-crafted features extraction that measure the stabilty. The proposed method is based on a compression algorithm named Run Length Encoding.
I had a teaching assignments during of my Phd research at the UFR Mathématiques et Informatique of Université de Paris
I had a teaching assignments at the IUT of Université de Paris