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Humanist Archives: July 7, 2020, 8:40 a.m. Humanist 34.153 - events cfp: multimedia heritage

                  Humanist Discussion Group, Vol. 34, No. 153.
            Department of Digital Humanities, King's College London
                   Hosted by King's Digital Lab
                Submit to: humanist@dhhumanist.org

        Date: 2020-07-06 15:14:42+00:00
        From: Ronak Kosti 
        Subject: SUMAC 2020: workshop on Structuring and Understanding of Multimedia heritAge Contents

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

Note that according to the policy chosen by ACM Multimedia 2020 facing
potential travel restrictions in the fall due to covid-19, SUMAC 2020
may happen as a virtual workshop.


*** 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

*** Keynote speakers

- Andre Araujo (Google, US): Deep Image Features for Instance-level
  Recognition and Matching.
- Livio de Luca (CNRS, France): modelling, semantisation and restitution
  of 3D digital heritage objects - application to digital restoration of
  Notre-Dame de Paris

*** Important dates

Submission Due: 30 July 2020 (11:59 p.m. AoE)
Author acceptance notification: 26 August 2020
Camera Ready Submission: 2 September 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 at the workshop and at the conference!
The workshop organizers

Ronak Kosti, PhD
Chair of Computer Science 5 (Pattern Recognition)
Friedrich-Alexander-Universität, Erlangen-Nürnberg
Fax number: +49 9131 85 27270
Email: ronak.kosti@fau.de
Website: https://lme.tf.fau.de/person/kosti/

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