[visionlist] ACM 2019/SUMAC Workshop: call for papers

[Margarita Khokhlova]

[Apologies if you receive multiple copies of this CFP]

Call for Papers

*SUMAC 2019*
*The 1st workshop on Structuring and Understanding of Multimedia heritAge
Contents*

In conjunction with ACM Multimedia 2019
21 - 25 October 2019, Nice, France

https://sumac2019.ec-lyon.fr
<https://hamac.ign.fr/owa/redir.aspx?C=xmb22hpjCGVgXS3b3YPncAQiKE3WjomyqDRn8oQ8Nea1hH2EUcPWCA..&URL=https%3a%2f%2fsumac2019.ec-lyon.fr%2f>

https://www.acmmm.org/2019/
<https://hamac.ign.fr/owa/redir.aspx?C=2opJE-8KSR-xC2_-TxiJHWbMHbRoZMRY75Gb9GRIP5a1hH2EUcPWCA..&URL=https%3a%2f%2fwww.acmmm.org%2f2019%2f>


*Aims and scope*

The digitization of large quantities of analogue data and the massive
production of born-digital documents for many years now provide us with
large volumes of varied multimedia data (images, maps, text, video,
multi-sensor data, etc.), an important feature of which is that they are
cross-domain. "Cross-domain" reflects the fact that these data may have
been acquired in very different conditions: different acquisition systems,
times and points of view (e.g. a 1962 postcard from the Arc de Triomphe vs.
a recent street-view mobile mapping acquisition of the same monument).
These data represent an extremely rich heritage that can be exploited in a
wide variety of fields, from SSH to land use and territorial policies,
including smart city, urban planning, tourism, creative media, and
entertainment.

In terms of research in computer science, they address challenging problems
related to the diversity and volume of the media across time, the variety
of content descriptors (potentially including the time dimension), the
veracity of the data, and the different user needs with respect to engaging
with this rich material and the extraction of value out of the data. These
challenges are reflected in research topics such as multimodal and mixed
media search, automatic content analysis, multimedia linking and
recommendation, and big data analysis and visualization, where scientific
bottlenecks may be exacerbated by the time dimension, which also provides
topics of interest such as multimodal time series analysis.

The objective of this workshop is to present and discuss the latest and
most significant trends in the analysis, structuring, and understanding of
multimedia contents dedicated to the valorization of heritage, with the
emphasis on the unlocking of and access to the big data of the past. We
welcome research contributions related to the following (but not limited
to) topics:

   - Multimedia and cross-domain data interlinking and recommendation
   - Dating and geolocalization of historical data
   - Mixed media data access and indexing
   - Deep learning in adverse conditions (transfer learning, learning with
   side information, etc.)
   - Multi-modal time series analysis, evolution modeling
   - Multi-modal and multi-temporal data rendering
   - HCI / Interfaces for large scale data sets
   - Smart digitization of massive quantities of data
   - Benchmarking

*Submission guidelines*

   - Submission Due: Monday 8 July 2019
   - Acceptance Notification: Monday 5 August 2019
   - Camera Ready Submission: TBD
   - For paper guidelines please visit
   https://www.acmmm.org/2019/submission/
   <https://hamac.ign.fr/owa/redir.aspx?C=hMzM2OcEib3xdHcA34hCV5PRoUoq1HV-WZjQbjzj_UW1hH2EUcPWCA..&URL=https%3a%2f%2fwww.acmmm.org%2f2019%2fsubmission%2f>


*Organizers*

Valerie Gouet-Brunet (IGN/LaSTIG, France)
Sander Münster (Technische Universität Dresden, Germany)
Roeland Ordelman (University of Twente, the Netherlands)
Liming Chen (Centrale Lyon/LIRIS, France)
Margarita Khokhlova (IGN/LaSTIG, Centrale Lyon/LIRIS, France)
------------------------
Looking forward to seeing you in Nice!
The workshop organizers
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