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<p>[Apologies if you receive multiple copies of this CfP]<br>
<br>
<b>Call for Papers</b><br>
<br>
<b>SUMAC 2019: The 1st workshop on Structuring and Understanding
of Multimedia heritAge Contents</b><br>
<br>
<b>In conjunction with ACM Multimedia 2019</b><br>
<b>21 - 25 October 2019, Nice, France</b><br>
<br>
<a class="moz-txt-link-freetext"
href="https://sumac2019.ec-lyon.fr">https://sumac2019.ec-lyon.fr</a>
<br>
<a class="moz-txt-link-freetext"
href="https://www.acmmm.org/2019/">https://www.acmmm.org/2019/</a>
<br>
<br>
<b>Aims and scope</b><br>
<br>
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. <br>
<br>
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. <br>
<br>
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:<br>
</p>
<ul>
<li>Multimedia and cross-domain data interlinking and
recommendation </li>
<li>Dating and geolocalization of historical data </li>
<li>Mixed media data access and indexing </li>
<li>Deep learning in adverse conditions (transfer learning, few
shot learning, learning with side information, etc.) </li>
<li>Explainability of deep learning models related to multimedia
and cross-domain data analysis</li>
<li>Multi-modal time series analysis, evolution modeling </li>
<li>Multi-modal and multi-temporal data rendering </li>
<li>HCI / Interfaces for large scale data sets </li>
<li>Smart digitization of massive quantities of data </li>
<li>Benchmarking</li>
</ul>
<p><br>
<b>Invited speakers</b><br>
</p>
<ul>
<li>Fabio Vitali (Università di Bologna): Beyond three dimensions:
managing space, time and subjectivity in your data</li>
<li>Florian Niebling (Universität Würzburg): AR/VR 4D interfaces
for large scale data about urban History</li>
</ul>
<p><br>
<b>Important dates</b><br>
</p>
<ul>
<li>Submission Due: <b>Monday 8 July 2019</b> (11:59 p.m. AoE)</li>
<li>Acceptance Notification: Monday 5 August 2019</li>
<li>Camera Ready Submission: 19 August 2019</li>
<li>Workshop Date: TBA; either Oct 21 or Oct 25, 2019</li>
</ul>
<p><br>
Submissions papers should be from 4 to 8 pages (plus additional
pages for the reference pages), encoded as PDF and using the ACM
Article Template. Please refer to the workshop website for further
information.<br>
<br>
<b>Organizers</b><br>
</p>
<ul>
<li>Valerie Gouet-Brunet (IGN/LaSTIG, France)</li>
<li>Sander Münster (Technische Universität Dresden, Germany)</li>
<li>Liming Chen (Centrale Lyon/LIRIS, France)</li>
<li>Margarita Khokhlova (IGN/LaSTIG, Centrale Lyon/LIRIS, France)</li>
</ul>
<br>
Looking forward to seeing you in Nice!<br>
The workshop organizers
<p><br>
</p>
<pre class="moz-signature" cols="72">--
Valerie Gouet-Brunet
Senior researcher / Directrice de recherche (DR1) du MTES
IGN / LaSTIG
73, Avenue de Paris - F94165 Saint-Mande CEDEX
Tel. +33 (0)1 43 98 62 10
<a class="moz-txt-link-freetext" href="http://recherche.ign.fr/labos/matis/~valerie.gouet-brunet">http://recherche.ign.fr/labos/matis/~valerie.gouet-brunet</a></pre>
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