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Subject:
From:
Ioan Marius BILASCO <[log in to unmask]>
Reply To:
Ioan Marius BILASCO <[log in to unmask]>
Date:
Sun, 30 May 2021 22:01:10 +0200
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*CBMI 2021 Call for participation*

The eighteenth edition of CBMI will be organized by the CRIStAL 
laboratory at University of Lille, Lille, France from 28 to 30 June 2021 
as a fully virtual event.

Topics of interest for the CBMI community include, but are not limited 
to, the following: audio and visual and multimedia indexing, multimodal 
and cross-modal indexing, deep learning for multimedia indexing, visual 
content analysis, audio (speech, music, etc.) content analysis and 
mining, identification and tracking of semantic regions and events, 
social media analysis.

The CBMI2021 programme this year consists of:
    • 3 keynote talks from leading academics and practitioners
    • 30 full papers (across seven sessions, including three special 
sessions)
    • 13 posters and demos

Full details of the conference programme can be found on the CBMI website
https://cbmi2021.univ-lille.fr/program-1#programoverview 
<https://cbmi2021.univ-lille.fr/program-1#programoverview>


Registration for participants is free of charge.
Registration deadline : *June 15th*
https://inscription-evenement.univ-lille.fr/CBMI2021/ 
<https://inscription-evenement.univ-lille.fr/CBMI2021/>
<https://inscription-evenement.univ-lille.fr/CBMI2021/>

*Highlights of the CBMI 2021 Conference*

*Keynotes*
    • Alberto Del Bimbo, University of Firenze, Italy — Using Memory and 
Attention for Compatible-garments Outfit  Recommendation
    • Mohan Kankanhalli, School of Computing, National University of 
Singapore — Privacy-aware Analytics for Human Attributes from Images
    • Cécile Favre, University of Lyon, France -  Diversity and Women in 
Multimedia

*Special sessions*
    • Bio-inspired circuits, systems and algorithms for multimedia (BICSAM)
    • Content-based learning in astrophysics (CoBLA)
    • Mining and indexing multimedia data for remote sensing of the 
environment and our changing planet (Remote Sensing)

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