CIVIA2022¶

ACM SAC 2022¶

Brno, Czech Republic
April 25 - April 29, 2022¶

COMPUTATIONAL INTELLIGENCE AND VIDEO & IMAGE ANALYSIS track¶

A special track on the Computational Intelligence and Video & Image Analysis (CIVIA) will be held at SAC '20. It will be a forum for engineers, researchers and practitioners throughout the world to share technical ideas and experiences related to the implementation and applications of Computational Intelligence, to Video & Image Analysis, and even to knowledge system and artificial intelligence-oriented learning. Many conferences have been dedicated to Evolutionary Computing (ICEC, GECCO, PPSN, etc.), and Video & Image Analysis (ICIAR, ICIAP, ICASSP, IJCAI, etc.), but this track still calls for papers addressing practical applications of computational intelligence and video & image analysis. Research papers using computational intelligence techniques (theoretical and applied) for video and image analyses will be highly considered. Topics of interest include, but are not limited to:

Computational Intelligence
Evolutionary Computation
Neural Networks
Fuzzy Systems
Intelligent Computing
Swarm Intelligence
Web Intelligence
Video & Image Analysis
Pattern Recognition
Multimedia Mining
Video Classification
Video Content Analysis
Video Indexing
Image Classification
Image Retrieval
Image Processing
Image Segmentation
Knowledge-based System
Knowledge Representation
Knowledge Management
Knowledge Discovery
Artificial Intelligence
Intelligent Interfaces
Machine Learning
Deep Learning
Natural Language Processing

IMPORTANT DATES:¶

• October 15, 2021 Submission of regular papers and SRC research abstracts
• October 25, 2021 Submission of Tutorial Proposals
• November 20, 2021 Notification of Tutorials Acceptance
• December 10, 2021 Notification of paper acceptance/rejection
• December 10, 2021 Notification of SRC acceptance/rejection
• December 21, 2021 Camera-ready copies of accepted papers/SRC
• December 21, 2021 Author registration due date

SUBMISSION GUIDELINES¶

Original paper from the above mentioned areas will be considered. This includes three categories of submissions:
1) Original and unpublished research
2) Reports of innovative artificial intelligence applications in the arts, sciences, engineering, business, government, education and industry
3) Reports of successful technology transfer to new problem domains

Each category of submissions will be reviewed by peer groups appropriate to that category. Accepted papers in all categories will be published in the symposium proceedings. Expanded version of the best selected paper from all categories will be considered for publication in the ACM/SIGAPP quarterly Applied Computing Review or one of the other participating SIGs' publications. Submission guidelines must be strictly followed:
1) Submissions will be in electronic format, via the website site https://www.sigapp.org/sac/sac2022/
2) The author(s) name(s) and address(es) must not appear in the body of the paper, and self-reference should be in the third person. Acknowledgements’ and self-references should be stated to be added later. This is to facilitate double-blind review.
3) Full papers are limited to 8 pages, in camera-ready format, included in the registration fee. Authors have the option to include up to two (2) extra pages at additional charge.
Posters are limited to 3 pages, in camera-ready format, included in the registration fee. Authors have the option to include only one (1) extra page at additional charge.
SRC abstracts are limited to 4 pages, in camera-ready format, included in the registration fee. No extra pages allowed.
4) Deadlines will be strictly enforced.
5) Paper registration is required, allowing the inclusion of the paper/poster in the conference proceedings. An author or a proxy attending SAC MUST present the paper. This is a requirement for the paper/poster to be included in the ACM/IEEE digital library. No-show of scheduled papers and posters will result in excluding them from the ACM/IEEE digital library.
6) NOTE: Papers cannot be sent to more than one track.

PROGRAM COMMITTEE
To be confirmed or updated¶

Harry Agius harry.agius@brunel.ac.uk Brunel University, UK
Huang Yin-Fu huangyf@yuntech.edu.tw National Yunlin University of Science and Technology, Taiwan
Lourdes Borrajo lborrajo@uvigo.es University of Vigo, Spain
Carlos Forster forster@ita.br Instituto de Tecnologia Aeronautica, Brazil
Marco Furini marco.furini@unimore.it University of Modena and Reggio Emilia, Italy
William I. Grosky wgrosky@umich.edu University of Michigan, USA
Tiancheng Li t.c.li@usal.es Dalian Maritime University, China
Antonio Pereira apereira@ipleiria.pt Polytechnic Institute of Leiria, Portugal
Maria Da Graca Pimentel mgp@icmc.usp.br University of Sao Paolo, Brazil
Jose R. Villar villarjose@uniovi.es University of Oviedo, Spain
Ernesto Damiani ernesto.damiani@unimi.it University of Milano, Italy
Yongsheng Dong dongyongsheng98@163.com Chinese Academy of Sciences, China
Ognjen Arandjelovic ognjen.arandjelovic@gmail.com Deakin University, Australia
Keiji Yanai yanai@cs.uec.ac.jp University of Electro-Communications, Japan
Alexandre Calapez acalapez@laseeb.org University of Lisbon, Portugal
Mohan Kankanhalli mohan@comp.nus.edu.sg National University of Singapore, Singapore
Ateet Bhalla bhalla.ateet@gmail.com Independent Technology Consultant, India
Luigi Gallo luigi.gallo@cnr.it National Research Council, Italy
Nazre Batool nazr.e.batool@gmail.com University of Maryland, USA
Anastasia Angelopoulou A.Angelopoulou@westminster.ac.uk University of Westminster, UK
Frederic Nicolier frederic.nicolier@univ-reims.fr University of Reims, France

TRACK CHAIRS¶

Agostinho Rosa, PhD
LaSEEB - ISR – IST
Department of Bioengineering
IST, University of Lisbon, Portugal
Phone: +351-21-8418276/7
Fax: +351-21-8418291
E-mail: acrosa@laseeb.org
http://www.laseeb.org/people/faculty-2/agostinho-rosa/

André Barsack, PhD
School of Natural and Computational Sciences
Massey University
University of Neu Zealand
Phone: +6492136131
Fax: +351-21-8418291
E-mail: : a.l.barczak@massey.ac.nz
https://www.massey.ac.nz/massey/expertise/profile.cfm?stref=853530