Scholar
Marco Bertini
Google Scholar ID: SBm9ZpYAAAAJ
Associate professor of Computer Science, University of Florence
Citations & Impact
Citations
2,909
H-index
25
i10-index
63
Publications
20
Co-authors
87
list available
Publications
Resume (English only)
Academic Achievements
- Involved in multiple EU research projects such as ASSAVID, DELOS, VIDI-Video, IM3I, ORUSSI, and euTV. The research outcomes have been transformed into commercial products like On:meedi:a and mymeedia.
Research Experience
- Worked on the EU IST ASSAVID Project from 1999 to 2002, which dealt with the automatic annotation of sports videos.
- Worked within the DELOS Network of Excellence on Digital Libraries from 2004 to 2007, funded by the EU Sixth Framework Programme.
- Worked on the VIDI-Video project from 2008 to 2010, aiming to allow semantic access to video content by detecting a large number of concepts.
- Worked on the IM3I project from 2010 to 2011, which aimed to create tools for accessing and presenting media content to users in a natural and transparent way.
- Participated in the ORUSSI project, focusing on road monitoring through a network of roadside sensors (mainly cameras).
- Recently worked on the euTV project, whose objectives are to connect publicly available multimedia information streams under a unifying framework and to allow publishers of audio-visual content to decide the availability and duration of the content.
Education
- Received the Laurea Degree in Electronics Engineering (Laurea in Ingegneria Elettronica) from the University of Florence in 1999, and Ph.D. in 2004.
Background
- Currently working as an associate professor at the Department of Information Engineering, University of Florence. His research work is in the field of Computer Vision, Multimedia, and Pattern Recognition. He mainly works on automatic video analysis, annotation, and semantic transcoding.
Miscellany
- Current research activity focuses on social media analysis and annotation. Working on a research project funded by the Italian Ministry of University, Instruction, and Research, dealing with the creation of smart multimodal data.
