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<p>[Apologies if you receive multiple copies of this CFP]<br>
<br>
<b>Call for Papers</b><b><br>
</b><b><br>
</b><b>SUMAC 2020 - The 2nd workshop on Structuring and
Understanding of Multimedia heritAge Contents</b><b><br>
</b><b><br>
</b><b>In conjunction with ACM Multimedia 2020</b><b><br>
</b><b>12 - 16 October 2020, Seattle, United States</b><b><br>
</b><b><br>
</b><a class="moz-txt-link-freetext"
href="https://sumac2020.ec-lyon.fr">https://sumac2020.ec-lyon.fr</a><br>
<a class="moz-txt-link-freetext" href="https://2020.acmmm.org">https://2020.acmmm.org</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, multisensor 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 acquisition by mobile mapping 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 visualisation, 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 the second edition 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 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 spatialization of historical data</li>
<li>Mixed media data access and indexing</li>
<li>Deep learning in adverse conditions (transfer learning,
learning with side information, etc.)</li>
<li>Multi-modal time series analysis, evolution modelling</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, open data movement</li>
</ul>
<b>*** Important dates</b><br>
Submission Due: Monday 29 June 2020 (11:59 p.m. AoE)<br>
Author acceptance notification: 27 July 2020<br>
Camera Ready Submission: 7 August 2020<br>
Workshop Date: 12 or 16 October 2020 (TBA)<br>
<br>
<b>*** Submission guidelines</b><br>
<br>
<b>Submission format.</b> All submissions must be original work not
under review at any other workshop, conference, or journal. The
workshop will accept papers describing completed work as well as
work in progress. One submission format is accepted: full paper,
which must follow the formatting guidelines of the main conference
ACM MM 2020. Full papers should be from 6 to 8 pages (plus 2
additional pages for the references), encoded as PDF and using the
ACM Article Template. For paper guidelines, please visit: <a
class="moz-txt-link-freetext"
href="https://2020.acmmm.org/call-for-paper.html">https://2020.acmmm.org/call-for-paper.html</a>
<br>
<br>
<b> Peer Review and publication in ACM Digital Library.</b> Paper
submissions must conform with the “double-blind” review policy. All
papers will be peer-reviewed by experts in the field, they will
receive at least two reviews. Acceptance will be based on relevance
to the workshop, scientific novelty, and technical quality.
Depending on the number, maturity and topics of the accepted
submissions, the work will be presented via oral or poster sessions.
The workshop papers will be published in the ACM Digital Library.<br>
<br>
<b>*** Organizers</b><br>
<br>
Valérie Gouet-Brunet (LaSTIG Lab / IGN – Gustave Eiffel University,
France)<br>
Liming Chen (LIRIS Lab / Centrale Lyon, France)<br>
Xu-Cheng Yin (University of Science and Technology Beijing, China)<br>
Ronak Kosti (Pattern Recognition Lab / FAU Erlangen-Nürnberg,
Germany)<br>
Margarita Khokhlova (LaSTIG/LIRIS Labs, IGN & Centrale Lyon,
France)<br>
<br>
Looking forward to seeing you in Seattle!<br>
<p> The workshop organizers</p>
<p><br>
</p>
<pre class="moz-signature" cols="72">--
Valerie Gouet-Brunet
Senior researcher / Directrice de recherche (DR1) du MTES
LASTIG Lab.
Univ. Gustave Eiffel / IGN (French mapping agency)
73, Avenue de Paris - F94165 Saint-Mande CEDEX
Tel. +33 (0)1 43 98 62 10
<a class="moz-txt-link-freetext" href="https://www.umr-lastig.fr/vgouet/">https://www.umr-lastig.fr/vgouet/</a></pre>
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