CBMI 2021 BASED MULTIMEDIA INDEXING, June 2021, Lille

University of Lille, Cité scientifique, Villeneuve d‘Ascq, France, 28-30 June 2021

cbmi2021.univ-lille.fr

CBMI (eighteenth edition) aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. Topics of interest to the CBMI community include, but are not limited to, the following: audio and visual and multimedia indexing, multimodal and cross-modal indexing, deep learning for multimedia indexing, visual content extraction, audio (speech, music, etc.) content extraction, identification and tracking of semantic regions and events, social media analysis…

The eighteenth edition of CBMI will be organized by the CRIStAL laboratory at University of Lille, Lille, France, following the successful previous editions of Toulouse 1999, Brescia 2001, Rennes 2003, Riga 2005, Bordeaux 2007, London 2008, Chania 2009, Grenoble 2010, Madrid 2011, Annecy 2012, Veszprem 2013, Klagenfurt 2014, Prague 2015, Bucharest 2016, Firenze 2017, La Rochelle 2018, and Dublin 2019.

Authors are encouraged to submit previously unpublished research papers in the broad field of content-based multimedia indexing and applications. We wish to highlight significant contributions addressing the main problem of search and retrieval but also the related and equally important issues of multimedia content management, user interaction, large-scale search, learning in retrieval, social media indexing and retrieval. Additional special sessions are planned in areas such as deep learning for retrieval, social media retrieval, cultural heritage, surveillance and security.

Authors can submit full length (6 pages – to be presented as oral presentation) or short papers (4 pages – to be presented as posters). Papers can be submitted to the regular paper sessions, demo session, or to one of the special sessions. Additionally demonstration papers (up to 4 pages) may also be submitted that highlight interesting and novel demos of CBMI-related technologies. The submissions are peer reviewed in a single blind process. The language of the conference is English. The CBMI 2020 conference adheres to the IEEE paper formatting guidelines. When preparing your submission, please follow the IEEE guidelines given by IEEE at the Manuscript Templates for Conference Proceedings.

The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special issue of a leading journal in the field (e.g. MTAP – Springer), and other best papers will be invited to submit extended versions of their contributions in a book (ISTE/WILEY publisher).

Topics of interest to the CBMI community include, but are not limited to, the following:
• Audio and visual and multimedia indexing
• Multimodal and cross-modal indexing
• Deep learning for multimedia indexing
• Visual content extraction
• Audio (speech, music, etc) content extraction
• Identification and tracking of semantic regions and events
• Social media analysis
• Metadata generation, coding and transformation
• Multimedia information retrieval (image, audio, video, text)
• Mobile media retrieval
• Event-based media processing and retrieval
• Affective/emotional interaction or interfaces for multimedia retrieval
• Multimedia data mining and analytics
• Multimedia recommendation
• Large scale multimedia database management
• Summarization, browsing and organization of multimedia content
• Personalization and content adaptation
• User interaction and relevance feedback
• Multimedia interfaces, presentation and visualization tools
• Evaluation and benchmarking of multimedia retrieval systems
• Applications of multimedia retrieval, e.g., medicine, lifelogs, satellite imagery, video surveillance
• Cultural heritage applications

DATES:
Conference date : 28-30 June 2021, at Lille, France.
Contact: cbmi2021-organisation@univ-lille.fr
Deadline for regular paper and demo submissions : 15 January 2021
Notification of acceptance : 15 March 2021
Camera-ready papers due : 30 March 2021

STUDENT PARTICIPATION:
We strongly encourage students to participate in CBMI-21 event and submit their research. We strongly believe in their power and they are the future of the research in content-based multimedia indexing. For these reasons and for the first time in the history of the conference, the 2021 edition of CBMI with support of ACM SIGMM (www.sigmm.org), will sponsor several students, authors of papers submitted and accepted by CBMI-21, and being corresponding author of a paper. The student status will be recognized only to PhDs and master students. Certain students will be totally sponsored, including registration fees, accommodations and travel expenses. Other students will be partly sponsored, including substantial reduction in the registration fees, no cut-backs to the students’ conference experience, and budget accommodation options and arrangement for room sharing.

Furthermore, in this edition, prizes will be awarded to the best student poster presentations of CBMI2021. All the participants registered to CBMI2021 as student will be automatically admitted to the selection for the awards. All the papers accepted as poster presentation by the Technical Program Committee (TPC), from students will be considered for the awards, given that a full-paper manuscript has been submitted.

The student poster awards committee will evaluate the nominated contributions during the poster sessions of CBMI2021. The evaluation criteria will be independently established by the Committee before the conference and will take into account the scientific content as well as the technical quality of the posters.

The Student Poster Awards will be announced during the Gala Dinner, on June 29th.

Second CFP :– 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)

Book Chapter in Elsevier

Dear Colleague,
This is a call for book chapter proposals for the book “Leveraging Artificial Intelligence in Global Epidemics” to be published by Elsevier.
Deadline for submitting the Extended Summary: Sep 30, 2020  
The individual chapters should provide a comprehensive overview of the chosen topic covering advances in the area and should be tutorial in nature and presentation, to appeal to a broad range of readers who may NOT be researchers on the topic. Hence, they shouldn't be like a research paper. You are hereby invited to submit first, a 2-3 page extended summary including (a) an abstract, (b) an outline / TOC / list of headings and sub-headings along with a summary of each heading, (c) short biographies of the authors, and (d) a statement why you are experts for the proposed chapter. Following a review of your summary, we'll offer our feedback and suggestions for improvement and better synergy with the rest of the chapters and cohesive coverage.
Chapter Submission Link: https://easychair.org/conferences/?conf=aige2021

Structure of the Book:

The book is planned to have 11-12 chapters divided into two sections. Part I consists of 3 chapters providing a holistic overview of global epidemics, a motivation for the book and challenges. Part II consists of emerging technologies that help fight against epidemics. Part II has 6 chapters as listed below. This makes 9 chapters. The rest 2-3 chapters are to be added dynamically based on the availability of authors (These chapters may be on The Use of Social Media for Tracking Public Behavior, Does AI help in Genome Sequencing, AI-assisted Testing, Computational Drug Repurposing, or any other trending and suitable topic in line with the title and the theme of the book).

Part I: Controlling Epidemics: A Perspective

This part provides an overview and study of Global Epidemic situations. It starts with assessing the countries' readiness for coping with epidemics, goes through the challenges in battling with epidemic, and then closes with a survey of existing approaches, techniques and tools available or developed by academicians or industry professionals for controlling the epidemics.

1 Setting the Scene (A Chapter by the Editors) 

This chapter provides an overview and summary of the complete book as a whole. It acts as glue between the chapters written by different authors and brings in synergy to all the chapters in both the parts of the book. In effect, it sets the scene for the reader and acts as an introductory and a must read before proceeding for the further chapters.

2 An Overview of Global Epidemics and the Challenges Faced
(a) Assessing Countries' Readiness for Coping with Epidemics: There is a need of retrospective evaluation of each country's readiness for coping with epidemics. An automated data collection followed by evaluation will help in knowing if the human kind is well-equipped to deal with it.
(b) A Study related to Ebola, Corona viruses, Zika, influenza, Dengue, Chikungunya, Malaria like infectious diseases will be presented in this chapter. A discussion on the most fatal pandemics recorded in the history (like the Plague, Spanish Flu, HIV/AIDS, COVID-19) and their economic consequences. What is common in these? All these have jumped to humans after being originated in animals somehow.
(c) Challenges in Battling with Epidemics
(d) …

3 A Survey of Existing Approaches and Tools to fight against epidemic and the lessons learnt
(a) Survey of tools/techniques/methodologies/software already available at the time of writing of this book to predict/detect/recommend actions during an epidemic situation.
(b) Lessons learnt by every epidemic that has struck this world (including COVID-19)

Part II: Emerging Technologies Fight Against Epidemics

Having gone through the background of controlling global epidemic situation, this part of the book covers the emerging techniques to fight against epidemic. At the time of writing this book, COVID-19 pandemic was caused by coronavirus and was widespread with deadly results. The case study of COVID-19 has been presented to better exploit the study presented in each chapter.

4 AI Technologies specialized to the need in the fight against epidemic
All current technologies under the umbrella of AI or surrounding AI should be covered like Data Science, Big Data, Machine Learning, Semantic Technologies, Data Analytics, cyber security.

5 Does AI help in Forecasting?
This chapter will speak about WHO statistics on pathogens. AI can help predicting everything about spillovers, hence allowing the governments to plan ahead. AI can predict what, when, why, and where of the epidemic. We define AI and discuss the various machine learning models to predict the same.
Case Study of Covid-19 for Predictions will be presented.

6 AI and Detection / Improved Diagnosis
In case of outbreak of a disease; after detection, we need to publicize the threat. AI makes possible quick detection in order to enable possible vaccination and treatment; and alerts for the public. Diagnosis and Monitoring of cases is of paramount importance.
Case Study of Covid-19 for Early Detection will be presented.

7 Generating Recommendations
A global, AI-enabled data system can provide advices and issue warnings in real time. Help manage socio-economic impacts.

8 Role of AI in Contact Tracing
The architecture of so called “Corona apps” and their backends is described in this chapter. The role of AI is clarified for these approaches and also other aspects like privacy and security. Furthermore, other approaches to contact tracing are introduced in this chapter.

9 Situation Awareness
In any disaster, it is essential that the citizens get the correct information and organizations get the correct data. This chapter describes AI approaches to detect fake news or scams.

10-12 Open Topics dynamically picked by the authors
Any other trending and suitable topic in line with the title and the theme of the book can be incorporated.

Editors:
– Le Gruenwald, The University of Oklahoma, USA, ggruenwald@ou.edu
– Sarika Jain, National Institute of Technology, Kurukshetra, Haryana, India, jasarika@nitkkr.ac.in.
– Sven Groppe, University of Lübeck, Germany, groppe@ifis.uni-luebeck.de

Deadlines:

Extended Summary: Sep 30, 2020
Notification of Proposal Approval: Oct 20, 2020
Full Chapter Submission: Jan 10, 2020  

Best Regards

Dr. Sarika Jain

Assistant Professor at the Department of Computer Applications

National Institute of Technology Kurukshetra, India

https://sites.google.com/view/nitkkrsarikajain/

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Consider contributing to the

International Semantic Intelligence Conference ISIC2021

Delhi India Feb 25-27, 2021

OLA’2021 – International Conference on Optimization and Learning

21-23 June 2021

Catania (Sicilia), Italy

http://ola2021.sciencesconf.org/

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OLA is a conference focusing on the future challenges of optimization and learning methods and their applications. The conference OLA'2021 will provide an opportunity to the international research community in optimization and learning to discuss recent research results and to develop new ideas and collaborations in a friendly and relaxed atmosphere.

OLA'2021 welcomes presentations that cover any aspects of optimization and learning research such as big optimization and learning, optimization for learning, learning for optimization, optimization and learning under uncertainty, deep learning, new high-impact applications, parameter tuning, 4th industrial revolution, computer vision, hybridization issues, optimization-simulation, meta-modeling, high-performance computing, parallel and distributed optimization and learning, surrogate modeling, multi-objective optimization …

* Submission papers: We will accept two different types of submissions:

–       S1: Extended abstracts of work-in-progress and position papers of a maximum of 3 pages

–       S2: Original research contributions of a maximum of 10 pages

* Important dates:

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Invited session organization  Dec 18, 2020

Paper submission deadline     Dec 18, 2020

Notification of acceptance    March 24, 2021

* Proceedings:
Accepted papers in categories S1 and S2 will be published in the proceedings. A SCOPUS and DBLP indexed Springer book will be published for best accepted long papers. All proceedings will be available at the conference.

* Conference Steering Committee Chair
El-Ghazali Talbi (Univ. Lille & INRIA, France)

* Conference Chairs
Mario Pavone (Univ. Catania, Italy)
Lionel Amodeo (UTT, France)

* Conference Program Chairs
Bernabé Dorronsoro (Univ. Cadiz, Spain)
Vincenzo Cutello (Univ. Catania, Italy)

* Organization Committee
Rocco A. Scollo (Univ. Catania, Italy)
Antonio M. Spampinato (Univ. Catania, Italy)
Georgia Fargetta (Univ. Catania, Italy)
Carolina Crespi (Univ.  Catania, Italy)
Jeremy Sadet (Univ. Lille, France)
Rachid Ellaia (EMI, Morocco)

* Publicity Chairs
Juan J. Durillo (Leibniz Supercomputing Center, Germany)
Grégoire Danoy (Univ. Luxembourg, Luxembourg)

Call for participants – Group Evaluation of Sclera Segmentation Models

Call for participants – Sclera segmentation Group evaluation

Outcome: Joint journal paper
Registration deadline: October 10th, 2020

Website: https://sites.google.com/view/ssbc2020/group-evaluation
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GROUP EVALUATION OF SCLERA SEGMENTATION MODELS

*** CALL FOR PARTICIPANTS ***

INTRODUCTION
Sclera biometrics have gained significant popularity among emerging
ocular traits in the last few years. In order to establish the sclera as
a viable biometric trait and to evaluate its potential for automated
biometric systems, several works have been presented in the literature,
employing sclera both individually and in combination with the iris.
Despite these initiatives, sclera biometrics need to be studied more
extensively to ascertain their usefulness. Among the numerous challenges
still open in this area, efficient and robust sclera segmentation is
among the most important ones, affecting all downstream tasks from
normalization to recognition. While a considerable amount of research
has been directed towards sclera segmentation in recent years, the
performance of existing techniques especially in various scenarios are
still not well explored.

Several group benchmarking efforts have been organized in the scope of
major biometric conferences to address this gap, namely SSBC 2015, SSRBC
2016, SSBC 2016, SSERBC 2017, SSBC 2018 and SSBC 2019 that were held in
conjunction with BTAS 2015, ICB 2016, BTAS 2016, IJCB 2017, ICB 2018 and
ICB 2019, respectively. The latest in the series, SSBC 2020m was
organized in the scope of IJCB 2020 and explored the performance of
sclera segmentation models in mobile settings.

As the next step in the series of competition, the organizers of SSBC
2020 are planning to conduct the largest group benchmarking effort to
date and submit the results and corresponding analysis to a major
biometric journal (TBD). The paper describing the group benchmarking
effort will be *** co-authored by all participants ***.

The planned paper will be partially based on the submissions to SSBC
2020 but will include new experiments on multiple datasets that will
allow for a more detailed analysis of the results with novel insights.
We invite researchers working on problems related ocular biometrics and
sclera segmentation to take part in the benchmarking effort and
contribute models for scoring and analysis. The benchmarking effort is
open to anyone and is not limited solely to participants of previous
benchmarking competitions.

BENCHMARKING LOGISTICS
Participants will be given training datasets to develop and train their
segmentation models. A list of experiments will be provided and
instructions on how to train multiple instances of the developed model.
All trained models will then have to be tested on a number of test
datasets. The organizers will score and analyze the submitted results.

REGISTRATION PROCEDURE
Researchers interested in participating should send an e-amil to Dr.
Abhijit Das with the subject line “Post SSBC 2020 benchmarking effort”
with the following information: Name, Affiliation, Email, Phone number,
CV, Mailing Address.

TIMELINE
Registration starts 8th September 2020
Training datasets available 8th September 2020
Test dataset made available 8th September2020
Registration closes 10th October 2020

ORGANIZERS:
Dr. Abhijit Das, Indian Statistical Institute, Kolkata, India
(abhijit.das@inria.fr)
Prof. Umapada Pal, Indian Statistical Institute, Kolkata, India
Matej Vitek, PhD candidate, University of Ljubljana, Ljubljana, Slovenia
Prof. Peter Peer, University of Ljubljana, Ljubljana, Slovenia
Assoc. Prof. Vitomir Štruc, University of Ljubljana, Ljubljana, Slovenia

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