SUMAC’25 @ACMMM’25: the 7th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents

April 1st, 2025 Daniela Lopez de Luise
Call for Papers
SUMAC 2025
7th ACM International workshop on analySis, Understanding and proMotion of heritAge Contents
Advances in machine learning, signal processing, multimodal techniques and human-machine interaction
27 – 31 Oct, 2025
Dublin, Ireland
In conjunction with ACM Multimedia 2025
Main conference: https://acmmm2025.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:
  • Information retrieval for multimedia heritage
  • Automated archaeology and heritage data processing
  • NLP and knowledge graphs
  • Multi-modal deep learning, generative modeling
  • Time series analysis for heritage data
  • Heritage visualization, virtualization and narratives
  • 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
  • Inclusive education
  • Smart and sustainable tourism
  • Urban planning
  • Digital Twins
*** Important dates (AoE)
  • Paper submission: June 13, 2025
  • Author acceptance notification: July 24, 2025
  • Camera-Ready: August 03, 2025
  • Workshop date: TBA (October 27 or 28, 2025)
*** Special Highlights
Best Paper Award. Following tradition, SUMAC 2025 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
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-ENSG / Gustave Eiffel University, France)
Edgar Roman-Rangel (ITAM, Mexico)
Li Weng (Zhejiang Financial College, China)
Looking forward to hearing from you at SUMAC!
The workshop organizers
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Call for Posters and Demos – HHAI 2025, June 9-13, Pisa, Italy

April 1st, 2025 Daniela Lopez de Luise

CBMI 2025 – Call for Regular & Special Session Papers and Demonstrations

April 1st, 2025 Daniela Lopez de Luise
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21st International Conference on Content-based Multimedia Indexing, CBMI 2025 Dublin, Ireland, October 22-24, 2025

https://www.cbmi2025.org/

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[APOLOGIES FOR MULTIPLE POSTINGS]

Important Dates

Regular and Special Session Papers

  • Paper deadline: April 23, 2025 (AoE)

  • Paper notification: July 1, 2025 (AoE)

  • Camera-ready and registration due: August 1, 2025 (AoE)

Demonstration Papers

  • Paper deadline: June 1, 2025 (AoE)

  • Paper notification: July 1, 2025 (AoE)

  • Camera-ready due: August 1, 2025 (AoE)

Call for Regular Papers

CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. 

The organisers of CBMI 2025 call for novel and original research papers that are addressing the various topics of interest related to the conference. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence and foundation/language-backed-backed models for multimedia for multimedia. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics.

Authors can submit full papers (6 pages + references) or short papers (4 pages + references).

Submissions to CBMI are peer reviewed in a double blind process and the language of the conference is English. For full details on the submission process see the submission guidelines.

Authors of high-quality papers accepted to the conference may be invited to submit extended versions of their contributions to a special journal issue.

Call for Special Session Papers

The organisers of CBMI 2025 call for novel and original research papers that are relevant for the following special sessions:

  • MmIXR: Multimedia Indexing for XR is a special session that encompasses methods for processes during Extended Reality authoring as well as during the immersive experience.

  • ExMA: Explainability in Multimedia Analysis is a special session that aims to gather scientific contributions that will help improve the trust and transparency of multimedia analysis systems.

  • VR4B: Video Retrieval for Beginners is a special session that aims at providing better insights into how interactive video retrieval systems are usable by users who have a solid IT background, but are not familiar with the details of the system.

  • UHBER: Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons is a special session that addresses the processing of all types of data related to understanding of human behaviour, emotion, and their reasons, such as current or past context. 

  • AMHTAI: Advancing Medical Healthcare through AI is a special session that focuses on the latest advancements in AI-driven medical multimedia processing, IoT-enabled pervasive healthcare, and human-computer interaction.

  • Multimedia AI in Modern CB Retrieval: Challenges and Applications is a special session that focuses on AI-powered CB retrieval across diverse domains, including multimedia verification and fact-checking, healthcare, large-scale news retrieval, and 3D multimedia analysis.

Please see https://www.cbmi2025.org/cfp/special-sessions/  for more details.

Call for Demonstrations

CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics.  We invite authors to report on novel and compelling demonstrations in all topic areas of CBMI. Demonstration papers are subject to peer review according to criteria such as novelty, interestingness, applications of or enhancements to state-of-the-art, and potential impact.

The length of the papers should be up to 4 pages. An additional 1-2 pages should be appended to the paper that illustrate how the demo will be conducted on-site at CBMI 2025. This additional content will not be published in the conference proceedings, should the submission be accepted. Including a link to a video showing the demo in action is highly encouraged. The submissions are peer-reviewed in a single-blind process. For full details on the submission process see the submission guidelines.

Presenters are expected to bring the necessary equipment (computers, etc.) themselves. The conference will provide a table, power outlet, screen, wireless (shared) internet and a poster board. If you have special needs (e.g., more space), please include a related note in your demo submission.

Topics of Interest

Topics of interest to the CBMI community include (but are not limited to) the following:

Multimedia Content Analysis and Indexing:

  • Media content analysis and mining

  • AI/ML approaches for content understanding

  • Multimodal and cross-modal indexing

  • Activity recognition and event-based multimedia indexing and retrieval 

  • Multimedia information retrieval (image, audio, video, text)

  • Conversational search and question-answering systems

  • Multimedia recommendation

  • Multimodal analytics, summarization, visualization, organization and browsing of multimedia content

  • Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)

  • Foundation models, large multimedia models, large language models and vision language models

  • Explainability in multimedia learning

  • Large scale multimedia database management

  • Evaluation and benchmarking of multimedia retrieval systems

Multimedia User Experiences:

  • Extended reality (AR/VR/MR) interfaces

  • Mobile interfaces and user interaction

  • Presentation and visualization tools

  • Affective adaptation and personalization

  • Relevance feedback and interactive learning

Applications of Multimedia Indexing and Retrieval:

  • Multimedia and sustainability

  • Healthcare and medical applications

  • Cultural heritage and entertainment applications

  • Educational and social applications

  • Egocentric, wearable and personal multimedia

  • Applications to forensics, surveillance and security

  • Environmental and urban multimedia applications

  • Earth observation and astrophysics

  • Physical and industrial processes

 

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DiversityOne Open Challenge at Ubicomp 2025

April 1st, 2025 Daniela Lopez de Luise

Call for Papers

DiversityOne Open Challenge: Exploring Diversity in People’s Everyday Life Behavior with Mobile Data

held at 

The ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp)

Espoo, Finland, October 12-16, 2025

Workshop website:  https://datascientiafoundation.github.io/diversityone-2025/ 

The open challenge aims to explore the DiversityOne dataset, one of the larger and most geographically diverse datasets for everyday life behavior modeling. The dataset combines questionnaires about demographic and psychosocial variables from 18K participants, and passive smartphone sensor data and self-reported annotations from 782 students across eight universities in eight countries. The study followed ethical approval procedures in each of the participating institutions and is compliant with the European General Data Protection Regulation (GDPR). This dataset is a rich, flexible and valuable research resource that can be used to answer research questions in multiple fields: machine learning, mobile sensing, computational social science, behavioral recognition, and many others. This challenge offers the opportunity to work on the dataset and gain useful feedback on your research. We welcome contributions from researchers from diverse backgrounds and geographical provenances. In particular, we welcome contributions that address aspects including, but not limited to:

  • AI/ubiquitous computing/mobile sensing

  • data-centric AI

  • interactive machine learning

  • noisy annotation detection and correction

  • domain adaptation

  • transfer learning

  • activity and mood recognition

  • responsible and ethical AI

  • Computational social science

  • network analysis of social systems

  • sequence analysis of diary data

  • analysis of communities of practices

  • machine learning or rule-based analysis of social behavior

  • Designing with data

  • studies focusing on the design and documentation of the dataset collection

  • studies focusing on the design affordances of the dataset

  • data-centric design

  • user-centered design

Why join?

  • Explore a rich, large-scale dataset for research

  • Receive feedback for your work from an expert program committee 

  • A selection of the accepted papers will be invited to submit an extended version to IEEE Pervasive Computing.

Important dates

  • From March 28, 2025: Submit your research proposal and request the datasets. The full list of available datasets and documentation is accessible on the data catalog. More details are on the workshop website.

  • June 8, 2025: Abstract deadline.

  • June 15, 2025: Submission deadline

  • June 29, 2025: Author notification

  • July 30, 2025: Deadline for camera-ready version of workshop papers to be included in the ACM DL

  • October 12 or 13, 2015: Full-day Workshop.

Important links

Workshop website: https://datascientiafoundation.github.io/diversityone-2025/ 

Dataset paper https://dl.acm.org/doi/10.1145/3712289

Data catalog https://datascientiafoundation.github.io/LivePeople-ws/datasets/ 

Dataset webpage https://datascientia.eu/projects/diversityone/

Paper submission

Short paper (max 4 pages, excluding references). The paper should report the motivation, methodology, results, future analyses and an ethical statement highlighting potential societal impacts. The submitted works should reflect on, analyze, or test the DiversityOne dataset.

Additional info:

Organizers

  • Andrea Bontempelli (University of Trento)
  • Matteo Busso (University of Trento)
  • Lakmal Meegahapola (ETH Zurich)
  • Amalia de Götzen (Aalborg University)
  • Fausto Giunchiglia (University of Trento)
  • Daniel Gatica-Perez (Idiap Research Institute & EPFL)

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Interactive Visual Dashboards Using R Shiny – Livestream Seminar

April 1st, 2025 Daniela Lopez de Luise
Code Horizons presents Interactive Visual Dashboards Using R Shiny, a 3-day seminar taught by Adam D. Rennhoff on April 30-May 2.

In this seminar, you'll learn how to create interactive dashboards using the open-source Shiny package for R, enabling you to communicate complex information effectively. By the end of the course, you will have a template and the experience necessary to build your own “real-world” dashboards.

This livestream seminar will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.

Watch the first hour of this course on the Statistical Horizons YouTube channel!
Please share this information with anyone who may be interested. Email
kaity@statisticalhorizons.com with any questions.

Thanks,
Kaity

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