Accueil>Research>>Multimedia, Indexing and Data Integration Group
Multimedia, Indexing and Data Integration Group
The MIDI group works in the field of Big Data Management and Analytics, addressing topics that include integrating, mining, analyzing and querying large volumes of various types of data, going from structured and semi-structured data, to spatiotemporal data, text, image, video and 3D models. A particular accent is put on the design and use of Machine Learning techniques in contexts specific to data analysis and data processing problems, with a focus on the explainability and transparency of such algorithms. Applications include social media content and graph analytics, semantic web data integration and analysis, pattern detection in image, video and multimodal data, search engines for different types of data, knowledge extraction from data, data privacy, in application domains such as cultural heritage, security, opinion mining, health, etc.
Faculty
Research areas
Indexing, analysis and research of visual content
Learning for computer vision
Massive Data Integration (Linked and Streaming data)
Analysis and mining of social networks (graph structure and text)