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<div style="font-size: 13.3333px;">[Apologies if you receive multiple copies of this CfP]</div>
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<div style="font-size: 13.3333px; text-align: center;"><b>*** Call for Papers for SUMAC 2021 ***</b></div>
<div style="font-size: 13.3333px; text-align: center;"><b>The 3rd workshop on Structuring and Understanding of Multimedia heritAge Contents</b></div>
<div style="font-size: 13.3333px; text-align: center;"><b>In conjunction with ACM Multimedia 2021</b></div>
<div style="font-size: 13.3333px; text-align: center;"><b>20 October 2020</b></div>
<div style="font-size: 13.3333px; text-align: center;"><b>Chengdu, China</b></div>
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<div style="font-size: 13.3333px;">Workshop: <a href="https://sumac-workshops.github.io/2021/" rel="noopener noreferrer" target="_blank" style="font-size: 10pt;">https://sumac-workshops.github.io/2021/</a> </div>
<div style="font-size: 13.3333px;">Conference: <a href="https://2021.acmmm.org" rel="noopener noreferrer" target="_blank" style="font-size: 10pt;">https://2021.acmmm.org</a> <span style="font-size: 10pt;"> </span></div>
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<div style="font-size: 13.3333px;"><b>*** Aims and scope</b></div>
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<div style="font-size: 13.3333px;">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. These data represent an
extremely rich heritage that can be exploited in a wide variety of fields, from Social Sciences and Humanities to land use and territorial policies, including smart city, urban planning, smart tourism and culture, 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 various 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.</div>
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<div style="font-size: 13.3333px;">The objective of the third edition 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 enabling access to the big data of the past. We welcome research contributions for the following (but not limited to) topics:</div>
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<div style="font-size: 13.3333px;">- Multimedia and cross-domain data interlinking and recommendation</div>
<div style="font-size: 13.3333px;">- Dating and spatialization of historical data</div>
<div style="font-size: 13.3333px;">- Mixed media data access and indexing</div>
<div style="font-size: 13.3333px;">- Deep learning in adverse conditions (transfer learning, learning with side information, etc.)</div>
<div style="font-size: 13.3333px;">- Multi-modal time series analysis, evolution modeling</div>
<div style="font-size: 13.3333px;">- Multi-modal & multi-temporal data rendering</div>
<div style="font-size: 13.3333px;">- Heritage - Building Information Modeling, Art</div>
<div style="font-size: 13.3333px;">- HCI / Interfaces for large-scale datasets</div>
<div style="font-size: 13.3333px;">- Smart digitization of massive quantities of data</div>
<div style="font-size: 13.3333px;">- Bench-marking, Open Data Movement</div>
<div style="font-size: 13.3333px;">- Generative modeling of cultural heritage</div>
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<div style="font-size: 13.3333px;"><b>*** Important dates</b></div>
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<div style="font-size: 13.3333px;">- Paper submission (6-8 pages + references) : <b>30 July 2021</b> (11:59 p.m. AoE)</div>
<div style="font-size: 13.3333px;">- Author acceptance notification: 26 August 2021</div>
<div style="font-size: 13.3333px;">- Camera-Ready: 2 September 2021</div>
<div style="font-size: 13.3333px;">- Workshop date: 20 October 2021</div>
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<div style="font-size: 13.3333px;"><b>*** Two great keynote speakers</b></div>
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<div style="font-size: 13.3333px;">- Jon Hardeberg (Professor at the Computer Science Department of the Norwegian University of Science and Technology, Norway): talk on Analyzing CHANGE in cultural heritage objects through images.</div>
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<div style="font-size: 13.3333px;">- Mathieu Aubry (Senior researcher, Imagine team, LIGM lab, ?Ecole des Ponts ParisTech, France): talk on Deep Learning for Historical Data Analysis.</div>
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<div style="font-size: 13.3333px;"><b>*** Organizers</b></div>
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<div style="font-size: 13.3333px;">Valerie Gouet-Brunet (LaSTIG Lab / IGN - Gustave Eiffel University, France)</div>
<div style="font-size: 13.3333px;">Margarita Khokhlova (Fujitsu France)</div>
<div style="font-size: 13.3333px;">Ronak Kosti (Pattern Recognition Lab / FAU Erlangen-Nurnberg, Germany)</div>
<div style="font-size: 13.3333px;">Li Weng (Hangzhou Dianzi University, China)</div>
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<div style="font-size: 13.3333px;">Looking forward to seeing you in Chengdu (virtually or not)! </div>
<div style="font-size: 13.3333px;">The workshop organizers</div>
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<div class="PlainText">--------------------------<br>
Valerie Gouet-Brunet<br>
Senior researcher / Directrice de recherche (DR1) du Ministère de l'Ecologie<br>
LASTIG Lab.<br>
Univ. Gustave Eiffel / IGN (French mapping agency)<br>
73, Avenue de Paris - F94165 Saint-Mande CEDEX<br>
Tel. +33 (0)1 43 98 62 10<br>
https://www.umr-lastig.fr/vgouet/</div>
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