[Apologies for multiple posts; please distribute to interested people!] 

Going Virtual - Due to COVID-19 pandemic this year D-MMEP workshop will be held virtual.

We invite submissions of papers to the 41st IEEE ICDCS 2021 workshop on Distributed Multimedia Event Processing (D-MMEP 21). 

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First International Workshop on Distributed Multimedia Event Processing 2021 (D-MMEP 21)
Co-Located with 41st IEEE International Conference on Distributed Computing (IEEE ICDCS 2021) 

https://d-mmep.github.io/2021/ 

VIRTUAL
7th  June 2021

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=Call for Papers=
The objective of D-MMEP workshop is to present and discuss recent trends in multimedia event processing. Event processing is an effective way to disseminate information to the intended user as they are open, distributed, and decoupled. Traditionally, the event processing domain was focused on processing IoT scalar data. With the advancement in the Internet of Multimedia Things (IoMT), there is a significant shift in the data landscape. Visual sensors such as CCTV, smartphones are now ubiquitous and generating a huge amount of multimedia data such as images and videos. Deep learning has become one of the widely adopted techniques to process multimedia content and has achieved success in the development of novel applications such as video and image analytics. Deep learning models come with performance bottlenecks as they require enormous computing resources and training data to process multimedia data. Heterogeneity of computing resources, resource intensiveness and unstructured data model are some of the biggest challenges of processing multimedia content in event processing domains.  

This workshop aims to bridge the gap to perform event processing by adopting the latest AI/ML techniques to process multimedia content and complements with the ongoing work in the distributed systems community. The workshop calls on novel ideas, tools, techniques, datasets, and experiments in the field of multimedia event processing. Topics of interest include but are not limited to: 
- Multimedia based Stream Processing, Complex Event Processing, Publish-Subscribe
- Realtime Multimedia Analytics
- Optimizing AI/ML Pipelines for Multimedia Event Analytics 
- Distributed Multimedia Event Analytics at Edge and Cloud 
- Neuro Symbolic Approaches for Multimedia Event Processing. 
- Geospatial Multimedia Event processing 
- Complex Event Recognition techniques for Multimedia Event Analytics 
- Multimedia spatiotemporal event reasoning 
- Multimedia Event Query Languages 
- Sustainable Multimedia Event Analytics 
- Multimedia Event Applications such as – Smart Cities, Smart Agriculture etc. 

=Submission Information=
All papers need to be submitted electronically in PDF format through the submission link hosted with EasyChair. Papers must be formatted for 8.5x11-inch paper. The length of the paper must be no more than 6 pages (or 8 pages with over-length charge) in the IEEE double-column format (10-pt font), including references and everything. The reviews will be single-blind. Each paper will be assigned to at least 3 reviewers from the related fields to access the work. At least one of the authors of every accepted paper must register and present the paper at the workshop.

Webpage: https://d-mmep.github.io/2021/ 

Contact: dmmepchair@gmail.com

=Important Dates=
Full Paper Submission: March 15, 2021. (23:59 EDT)
Notification of Acceptance: April 5, 2021.
Camera-ready copy due: April 16, 2021. (23:59 EDT) 
D-MMEP 2021 Workshop: July 7, 2021.

=Organizing Committee=
Edward Curry, National University of Ireland Galway, Ireland
Alexander Artikis, University of Piraeus, NCSR Demokritos, Greece
Piyush Yadav, Lero-Irish Software Research Centre, NUI Galway, Ireland

=Technical Program Committee=
Martin Hirzel, IBM T.J. Watson Research Center, NY, USA
Davide Frey, Inria, France
Luis Rodrigues, Universidade de Lisboa, Portugal
Christopher Mutschler, Fraunhofer Institute for Integrated Circuits IIS, Germany
Avigdor Gal, Technion – Israel Institute of Technology, Hafia, Israel
Etienne RiviŹre, Université Catholique de Louvain, Belgium
Jayavardhana Gubbi,TCS Research, India
Thomas Plagemann, University of Oslo, Norway
Amin Anjomshoaa, Lero Irish Software Research Centre (NUIG), Ireland
Alessandro Margara, Politecnico di Milano, Italy
Opher Etzion, Yezreel Valley College, Israel
Peter M. Fischer, Universität Augsburg, Institut für Informatik, Germany
Leo Yu Zhang, Deakin University, Australia
Boris Koldehofe, TU Darmstadt, Germany
Nalini Venkatasubramanian, University of California, Irvine, USA
David Eyers, University of Otago, New Zealand
Gabriele Mencagli, University of Pisa, Italy