Marco Bertini Digital libraries and Multimedia

Marco Bertini is an Associate Professor in Computer Science at the University of Florence, Italy. He is working at the Media Integration and Communication Center of the University of Florence.

Marco Bertini is an Associate Professor in Computer Science at the University of Florence, Italy. He is working at the Media Integration and Communication Center of the University of Florence. He received the Laurea Degree in Electronics Engineering (Laurea in Ingegneria Elettronica) from the University of Florence in 1999, and Ph.D. in 2004.

His interests are focused on digital libraries, multimedia databases and social media analysis. On these subjects he has addressed semantic analysis, content indexing and annotation, semantic retrieval and semantic video transcoding. He is author of 21 journal papers and 100 peer-reviewed conference papers. His Google Scholar H-Index is 23.

He has been involved in 9 EU research projects as WP coordinator and researcher, among which ASSAVID, DELOS, IM3I, euTV, ORUSSI.

Deep Sentiment Features of Context and Faces for Affective Video Analysis

C. Baecchi, T. Uricchio, M. Bertini, A. Del Bimbo

ACM International Conference on Multimedia Retrieval, 2017

2017

Spatio-Temporal Closed-Loop Object Detection

Leonardo Galteri, Lorenzo Seidenari, Marco Bertini, Alberto Del Bimbo

IEEE transactions on Image Processing, 2017

Deep Artwork Detection and Retrieval for Automatic Context Aware Audio Guides

L. Seidenari, C. Baecchi, T. Uricchio, A. Ferracani, M. Bertini, A. Del Bimbo

ACM Trans. Multimedia Comput. Commun. Appl., 2017

Real-time Wearable Computer Vision System for Improved Museum Experience

Giovanni Taverriti, Stefano Lombini, Lorenzo Seidenari, Marco Bertini, Alberto Del Bimbo

Proceedings of the 2016 ACM on Multimedia Conference

Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval

X. Li, T. Uricchio, L. Ballan, M. Bertini, C. Snoek, and A. Del Bimbo

ACM Computing Surveys, 2016

Bloom filters and compact hash codes for efficient and distributed image retrieval.

S. Ercoli, M. Bertini, A. Del Bimbo

Proc. of IEEE International Symposium on Multimedia (ISM), 2016

Item-Based Video Recommendation: An Hybrid Approach considering Human Factors

A. Ferracani, Daniele Pezzatini, M. Bertini, A. Del Bimbo

ACM International Conference on Multimedia Retrieval, 2016

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