ACM MMSports’24

April 30th, 2024 Daniela Lopez de Luise
;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;text-decoration:none;line-break:after-white-space”>

7th International Workshop on Multimedia Content Analysis in Sports (MMSports'24) @ ACM Multimedia, Oct 28 – Nov 1, 2024, Melbourne, Australia

 

We'd like to invite you to submit your paper proposals for the 7th International Workshop on Multimedia Content Analysis in Sports to be held in Melbourne, Australia together with ACM Multimedia 2024. The ambition of this workshop is to bring together researchers and practitioners from many different disciplines to share ideas and methods on current multimedia/multimodal content analysis research in sports. We welcome multimodal-based research contributions as well as best-practice contributions focusing on the following (and similar, but not limited to) topics:

– annotation and indexing in sports 

– tracking people/ athlete and objects in sports

– activity recognition, classification, and evaluation in sports

– 3D scene and motion reconstruction in sports

– event detection and indexing in sports

– performance assessment in sports

– injury analysis and prevention in sports

– data driven analysis in sports

– graphical augmentation and visualization in sports

– automated training assistance in sports

– camera pose and motion tracking in sports

– brave new ideas / extraordinary multimodal solutions in sports

– personal virtual (home) trainers/coaches in sports

– datasets in sports

– graphical effects in sports

– alternative sensing in sports (beyond the visible spectrum)

– multimodal perception in sports

– exploiting physical knowledge in learning systems for sports

– sports knowledge discovery

– narrative generation and narrative analysis in sports

– mobile sports application

– multimedia in sports beyond video, including 3D data and sensor data

 

Submissions can be of varying length from 4 to 8 pages, plus additional pages for the reference pages. There is no distinction between long and short papers, but the authors may themselves decide on the appropriate length of their paper. All papers will undergo the same review process and review period.

 

Please refer to the workshop website for further information: 

http://mmsports.multimedia-computing.de/mmsports2024/index.html

 

IMPORTANT DATES

Submission Due:                           19 July 2024 

Acceptance Notification:             5 August 2024

Camera Ready Submission:         19 August 2024 

Workshop Date:                            TBA; either Oct 28 or Nov 1, 2024

 

ACM MMSports’24 Chairs: Thomas Moeslund, Rainer Lienhart and Hideo Sai

Read More »

Int. Conf. on Evolutionary Multi-criterion Optimization, March 2025, Canberra, Australia – Submissions now open!

April 30th, 2024 Daniela Lopez de Luise

 

On behalf of the organizers, I hereby send the call for submissions of full papers or abstracts.

 

With best regards, Kaisa Miettinen

Read More »

Livestream Seminars in May

April 30th, 2024 Daniela Lopez de Luise
Statistical Horizons will host the below seminars:
  • Advanced Learning with R, taught by Ross Jacobucci, May 1-2, will provide you with the core knowledge needed to apply and evaluate advanced machine learning algorithms. 
  • Applied Deep Learning with Python, taught by Ross Jacobucci, May 8-9, focuses on applying deep learning algorithms to text and image data, along with insight into how deep learning methodologies can shape the design of studies. For a $200 total discount when registering for both of Dr. Jacobucci's seminars, please email us.
  • Design and Analysis of Simulation Studies, taught by Ashley Naimi, May 20-23, is a practical introduction to Monte Carlo simulation studies. Through theory and hands-on practice, you'll deepen your statistical intuition and gain the skills necessary to plan, conduct, and interpret simulation studies.
  • Ordinal Regression, taught by Frank Harrell, May 29, will discuss the most popular types of ordinal regression models, the proportional odds model and the proportional hazards model. This seminar is part of the Distinguished Speaker Series, a series of 3-hour virtual seminars taught by some of the most prominent and innovative scholars in the field.
These livestream seminars will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.


Please share this information with anyone who may be interested. Email ashley@statisticalhorizons.com with any questions.

Thanks,
Ashley

Read More »

Free Webinar: The Potential of AIoD for Innovators & Researchers, 30 Apr 2024

April 30th, 2024 Daniela Lopez de Luise

📢🔴 WEBINAR: The Potential of the AIoD Platform for Academic & Industry Innovators & Researchers

 

 

🚀 The AI-on-Demand (AIoD) Platform is a community-driven platform for all EU AI innovators, researchers, industries, enthusiasts and beyond. The work is in progress, and initial updates may benefit the EU AI communities.

 

 

💥 Please JOIN us to learn what's latest with the platform and how you can access and use the 420K datasets and 15K Machine Learning Models.

 

 

💚 We will have experts from the Research and Innovation AI Lab (RAIL) walk you through engaging with those valuable resources. You can also learn

about the needs of SMEs. Let’s also discuss opportunities for YOU to be a part

of the conversation and improvement of the EU Platform for all EU AI

development and innovation ecosystems.

 

 

🤝‍Attend our first seminar of a series next week and grab the opportunity to be a part of the conversation & prospect of building the AI Platform for all in the EU:

 

 

🎥 Apr 30, 2024, 9:30 AM CEST or 08:30 AM Dublin

✅Reg NOW👇

https://us02web.zoom.us/webinar/register/WN_OmFdPopVT1O5LlSdHOhRlg

 

 

Best regards

Efi Patmanidou

AIDA Support Committee Chair

Read More »

ICIP 2024: Introducing the 12 Workshops – Including the Big Visual Data Analytics (BVDA) Workshop, 27-30 October 2024, Abu Dhabi, UAE

April 30th, 2024 Daniela Lopez de Luise

Dear researchers and practitioners of big visual data analytics,

 

We are pleased to announce one of the twelve ICIP 2024 Workshops, the Big Visual Data Analytics (BVDA) Workshop, scheduled to take place from 27 to 30 October 2024, in Abu Dhabi, UAE. The BVDA Workshop aims to explore this rapidly evolving field encompassing cutting-edge methods, emerging applications, and significant challenges in extracting meaning and value from large-scale visual datasets.

 

All accepted contributions will be published in IEEE Xplore. The paper submission deadline is May 9, 2024.

For further details and submission instructions, please visit: https://icarus.csd.auth.gr/cfp-bvda-icip24-workshop/

 

 

Workshops

  • Big Visual Data Analytics (BVDA)
  • International Workshop on Hyperspectral and Multispectral Imaging on Agriculture and Geo Applications
  • SPVis: Security and Privacy of Machine Learning-based Vision Processing in Autonomous Systems
  • Embodied AI: Trends, Challenges, and Opportunities – EMAI
  • 2nd Workshop on 3D Computer Vision and Photogrammetry (3DCVP)
  • Learning-by-Myself (LbM): Self-supervised learning in biosignals and biomedical image processing
  • Biomedical Imaging & Diagnostics (BID) Workshop: Innovations in Biomarkers, Digital Pathology, & Radiology
  • Integrating Image Processing with Large-Scale Language/Vision Models for Advanced Visual Understanding
  • 1st Workshop on Intelligent Crowd Engineering (ICE)
  • Visual and Sensing AI for Smart Agriculture
  • AI4IPoT: AI for Image Processing Applications on Traffic: Advancements, Challenges, and Opportunities
  • Analysis of OCT Signals and Images: From Signal Formation to Practical Applications

To learn more about how to participate in each workshop, visit their web pages available here.

 

 

 

Organizers of BVDA Workshop

 

Prof. Ioannis Pitas: Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,

Aristotle University of Thessaloniki, Greece.

 

Prof. Massimo Villari: University of Messina, Italy.

 

Dr. Ioannis Mademlis: Postdoctoral researcher at the Harokopio University of Athens.

 

Read More »
« Older Entries
Newer Entries »
Design by 2b Consult