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Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

Torna all'elenco Report e working Paper anno 2019

Report e working Paper

Tipo: Annual report

Titolo: AIMIR 2019 Research Activities

Anno di pubblicazione: 2019

Formato: Elettronico

Autori: Amato G.; Bolettieri P.; Carrara F.; Ciampi L.; Di Benedetto M.; Debole F.; Falchi F.; Gennaro C.; Lagani G.; Massoli F.V.; Messina N.; Rabitti F.; Savino P.; Vadicamo L.; Vairo C.

Affiliazioni autori: CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy

Autori CNR:

  • GIUSEPPE AMATO
  • PAOLO BOLETTIERI
  • FABIO CARRARA
  • LUCA CIAMPI
  • FRANCA DEBOLE
  • MARCO DI BENEDETTO
  • FABRIZIO FALCHI
  • CLAUDIO GENNARO
  • GABRIELE LAGANI
  • FABIO VALERIO MASSOLI
  • NICOLA MESSINA
  • FAUSTO RABITTI
  • PASQUALE SAVINO
  • LUCIA VADICAMO
  • CLAUDIO FRANCESCO VAIRO

Lingua: inglese

Sintesi: Multimedia Information Retrieval (AIMIR) research group is part of the NeMIS laboratory of the Information Science and Technologies Institute "A. Faedo" (ISTI) of the Italian National Research Council (CNR). The AIMIR group has a long experience in topics related to: Artificial Intelligence, Multimedia Information Retrieval, Computer Vision and Similarity search on a large scale. We aim at investigating the use of Artificial Intelligence and Deep Learning, for Multimedia Information Retrieval, addressing both effectiveness and efficiency. Multimedia information retrieval techniques should be able to provide users with pertinent results, fast, on huge amount of multimedia data. Application areas of our research results range from cultural heritage to smart tourism, from security to smart cities, from mobile visual search to augmented reality. This report summarize the 2019 activities of the research group.

Lingua sintesi: eng

Parole chiave:

  • Artificial Intelligence
  • Computer Vision
  • Multimedia Information Retrieval
  • Similarity Search
  • Hebbian Learning
  • Relational Learning
  • Face Recognition
  • Learning in Virtual Worlds

Strutture CNR:

Moduli:

Allegati: Annual report (application/pdf)

 
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