Date : 2022-10-10 => 2022-10-14
Lieu : Lisbon, Portugal
Hybrid mode attendance

*** Call for Papers for SUMAC 2022 ***
The 4th workshop on Structuring and Understanding of Multimedia heritAge Contents
In conjunction with ACM Multimedia 2022
10-14 October 2022, Lisbon, Portugal

Workshop: https://sumac-workshops.github.io/2022/
Conference: https://2022.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 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 modelling
– Multi-modal and multi-temporal data rendering
– Heritage – Building Information Modelling, Art Virtualisation
– HCI / Interfaces for large-scale datasets
– Smart digitisation of massive quantities of data
– Bench-marking, Open Data Movement
– Generative modelling of cultural heritage

*** Important dates

– Paper submission: 6 July 2022 (11:59 p.m. AoE)
– Author acceptance notification: 29 July 2022
– Camera-Ready: 21 August 2022
– Workshop date: 10 or 14 October 2022 (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 2022. 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://2022.acmmm.org/call-for-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.

*** Organizers

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

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