[globaloutlookDH-l] [CFP - updated] SUMAC 2021 - 3rd Edition

Ronak Kosti ronak.kosti at fau.de
Mon Jun 21 03:09:59 MDT 2021

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Call for Papers - SUMAC 2021
The 3rd workshop on Structuring and Understanding of Multimedia heritAge Contents

In conjunction with ACM Multimedia 2021, 20 - 24 October 2020, Chengdu, China

Workshop: https://sumac-workshops.github.io/2021/
Conference: https://2021.acmmm.org

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. 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.

The objective of the third 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 the emphasis on enabling access to the big
data of the past. We welcome research contributions for the following (but not limited to) topics:

  *   Multimedia and cross-domain data interlinking and recommendation
  *   Dating and spatialization 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 & multi-temporal data rendering
  *   Heritage - Building Information Modeling, Art
  *   HCI / Interfaces for large-scale datasets
  *   Smart digitization of massive quantities of data
  *   Bench-marking, Open Data Movement
  *   Generative modeling of cultural heritage

Important dates

  *   Paper submission: 30 July 2021 (11:59 p.m. AoE)
  *   Author acceptance notification: 26 August 2021
  *   Camera-Ready: 2 September 2021
  *   Workshop date: 20 or 24 October 2021

Keynote speakers

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.
Mathieu Aubry (Senior researcher, Imagine team, LIGM lab, Ecole des Ponts ParisTech, France): talk on Deep Learning for Historical Data Analysis.

Submission guidelines

Submission format. 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 2021. 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: https://2021.acmmm.org/regular-papers .

Peer Review and publication in ACM Digital Library. 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.


Valerie Gouet-Brunet (LaSTIG Lab / IGN - Gustave Eiffel University, France)
Margarita Khokhlova (Fujitsu France)
Ronak Kosti (Pattern Recognition Lab / DHSS, FAU Erlangen-Nurnberg, Germany)
Li Weng (Hangzhou Dianzi University, China)

Looking forward to seeing you in Chengdu (virtually or not)!
The workshop organizers

Ronak Kosti, PhD
Post Doc Researcher
Pattern Recognition Lab,
Friedrich-Alexander-Universität, Erlangen-Nürnberg
Email: ronak.kosti at fau.de<mailto:ronak.kosti at fau.de>
Web: https://lme.tf.fau.de/person/kosti
Twitter: @r_rkosti
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