معرفی
Mathieu Delalandre is an Associate Professor at LIFAT Laboratory, University of Tours, France, specializing in image processing and document/video analysis since 2009. His research focuses on local approaches including local detectors, template matching, and transform domain processing, with applications in video copy detection, scene text detection, and document image networking.
He received his PhD in Computer Science from Rouen University in 2005, followed by research fellowships at SCSIT (Nottingham, UK), L3i (La Rochelle, France), and CVC (Barcelona, Spain) from 2006-2009. His educational background established his foundation in document analysis and pattern recognition.
Delalandre's research spans multiple domains of computer vision with emphasis on practical applications. His work bridges theoretical image processing techniques with real-world problems in document analysis and video content monitoring. Key contributions include robust symbol localization, performance evaluation frameworks for symbol recognition systems, and real-time text detection algorithms. His approach often combines structural and statistical methods for enhanced accuracy.
His publication record demonstrates consistent focus on video and document analysis, with recent work emphasizing partial video copy detection (2021-2023), real-time text detection (2019-2021), and JPEG document processing (2015-2017). The trajectory shows evolution from fundamental symbol recognition research to applied multimedia analysis systems addressing contemporary challenges in copyright protection and content monitoring.
As head of the StationTV project, Delalandre leads research on real-time processing of multi-channel television content. He has participated in numerous national and international research projects, contributing to advancements in document image analysis and video processing. His work has been supported through various research grants focusing on practical applications of computer vision.
Delalandre is an active member of the RFAI research group at LIFAT Laboratory, where he contributes to the development of innovative image processing techniques. His team collaborates across European institutions, maintaining strong connections with previous research sites in the UK, Spain, and other French laboratories. Current work focuses on multimedia fact-checking systems and real-time video analysis solutions.
