SUMAC 2020 - The 2nd workshop on Structuring and Understanding of Multimedia heritAge Contents Call for Papers

Call for Papers

SUMAC 2020 - 
The 2nd workshop on Structuring and Understanding 
of Multimedia heritAge Contents

In conjunction with ACM Multimedia 2020
12 - 16 October 2020, Seattle, United States

https://sumac2020.ec-lyon.fr
https://2020.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, 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.

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:

    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 modelling
    Multi-modal and multi-temporal data rendering
    HCI / Interfaces for large scale data sets
    Smart digitization of massive quantities of data
    Benchmarking, open data movement

*** Important dates

Submission Due: Monday 29 June 2020 (11:59 p.m. AoE)
Author acceptance notification: 27 July 2020
Camera Ready Submission: 7 August 2020
Workshop Date: 12 or 16 October 2020 (TBA)

*** 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
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:
https://2020.acmmm.org/call-for-paper.html

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.

*** Organizers

Valérie Gouet-Brunet 
        (LaSTIG Lab / IGN – Gustave Eiffel University, France)
Liming Chen (LIRIS Lab / Centrale Lyon, France)
Xu-Cheng Yin (University of Science and Technology Beijing, China)
Ronak Kosti (Pattern Recognition Lab / FAU Erlangen-Nürnberg, Germany)
Margarita Khokhlova (LaSTIG/LIRIS Labs, IGN & Centrale Lyon, France)

Looking forward to seeing you in Seattle!
The workshop organizers