[Infovis] [CfP] SUMAC'24 @ACMMM'24: the 6th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents ---> July 19, 2024

Valerie Gouet valerie.gouet at ign.fr
Mon Jul 1 14:36:57 CEST 2024


[Apologies if you receive multiple copies of this CfP] 

Call for Papers 
SUMAC 2024 
6th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents 
Advances in machine learning, signal processing, multimodal techniques and human-machine interaction 

28 Oct - 1 Nov, 2024 
Melbourne, Australia (attendance mode TBA) 
In conjunction with ACM Multimedia 2024 

Workshop: [ https://sumac-workshops.github.io/2024/ | https://sumac-workshops.github.io/2024/ ] 
Main Conference: [ https://2024.acmmm.org/ | https://2024.acmmm.org/ ] 
*** Aims and scope 

The ambition of SUMAC is to bring together researchers and practitioners from different disciplines to share ideas and methods on current trends in the analysis, understanding and promotion of heritage contents. These challenges are reflected in the corresponding sub-fields of machine learning, signal processing, multi-modal techniques and human-machine interaction. We welcome research contributions for the following (but not limited to) topics: 

- Monomodal analysis: text, structured referentials, image, video, 3D, music, sensor data 
- Information retrieval for multimedia heritage 
- Automated archaeology and heritage data processing 
- Multi-modal deep learning and time series analysis for heritage data 
- Heritage modeling, visualization, and virtualization 
- Smart digitization and reconstruction of heritage data 
- Open heritage data and bench-marking 

The scope of targeted applications is extensive and includes: 
- Analysis, archaeometry of artifacts 
- Diagnosis and monitoring for restoration and preventive conservation 
- Geosciences / Geomatics for cultural heritage 
- Education 
- Smart and sustainable tourism 
- Urban planning 
- Digital Twins 

*** Important dates (AoE) 

- Paper submission: July 19, 2024 
- Author acceptance notification: August 5, 2024 
- Camera-Ready: August 19, 2024 
- Workshop date: TBA (28 Oct - 1 Nov, 2024) 

*** Keynote speakers 

- Dr. Jing Zhang (School of Computer Science, The University of Sydney): talk on Large Vision Models in Heritage Content Understanding. 

- Dr. Vera Moitinho de Almeida (Centre for Digital Culture and Innovation, Faculty of Arts and Humanities, University of Porto): talk on Reusing 3D Models of Cultural Heritage Objects for Research and Conservation. 

*** Special Highlights 

Best Paper Award. Following tradition, SUMAC 2024 will also be awarding a best paper award, accompanied with a certificate and a trophy. 

*** 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 (full paper) as well as work in progress (short paper). Two submission formats are accepted: a) 4 pages plus 1-page reference (short paper); or b) 8 pages plus up to 2-page reference (full paper). They must be encoded as PDF using the ACM Article Template of the main conference ACM Multimedia 2024 (https://2024.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. 

*** Organizers 

Valerie Gouet-Brunet (LaSTIG Lab / IGN - Gustave Eiffel University, France) 
Ronak Kosti (Picsart AI Research Lab, Germany) 
Li Weng (Zhejiang Financial College, China) 

Looking forward to hearing from you at SUMAC! 
The workshop organizers 


-- 
Valerie Gouet-Brunet 
Senior researcher / DR1 Ministère de la Transition Ecologique 
LASTIG Lab. / Univ. Gustave Eiffel / IGN (French mapping agency) 
https://www.umr-lastig.fr/vgouet/ 


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