Section: Partnerships and Cooperations

International Initiatives

Inria Associate Teams Not Involved in an Inria International Labs

MOTIF

• Title: Unsupervised motif discovery in multimedia content

• International Partner (Institution - Laboratory - Researcher):

  • Pontifícia Universidade Católica de Minas Gerais (Brazil) - Audio-Visual Information Processing Laboratory (VIPLAB) - Silvio Jamil Guimarães

  • Universidade Federal Minas Gerais, Brasil - NPDI - Arnaldo Albuquerque de Araújo

• Duration: 2014–2016

• Motif aims at studying various approaches to unsupervised motif discovery in multimedia sequences, i.e., to the discovery of repeated sequences with no prior knowledge on the sequences. On the one hand, we will develop symbolic approaches inspired from work on bioinformatics to motif discovery in the multimedia context, investigating symbolic representations of multimedia data and adaptation of existing symbolic motif discovery algorithms. On the other hand, we will further develop cross modal clustering approaches to repeated sequence discovery in video data, building upon previous work.

Inria International Partners

Informal International Partners

• National Institute for Informatics, Japan

• University of Amsterdam, The Netherlands

• Czech Technical University, Czech Republic

• Katholieke Universiteit Leuven, Belgium

Participation in Other International Programs

• PICS CNRS MM-Analytics

  • Title: Fouille, visualisation et exploration multidimensionnelle de contenus multimédia ; Multi-Dimensional Multimedia Browsing, Mining, Analytics (num 6382).

  • International Partner (Institution - Laboratory - Researcher):

    • Reykjavík University, Iceland - Björn Þór Jónsson

  • Jan. 2014 – Dec. 2016

• CNRS – CONFAP FIGTEM

  • Title: Fine-grained text-mining for clinical trials

  • International Partner (Institution - Laboratory - Researcher): Pontifícia Universidade Católica do Paraná - Health Informatics dept, Claudia Moro

    • FIGTEM aims at developing natural language processing methods, including information extraction and indexing, dedicated to the clinical trial domain. The goal is to populate a formal representation of patients (via their electronic patient records) and clinical trial data in different languages (French, English, Portuguese).

  • Jan. 2016 – Dec. 2018