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SIVT 2022 : Signal Image and Vision Technology

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Link: https://www.sitis-conference.org/2022/
 
When Oct 19, 2022 - Oct 21, 2022
Where Dijon, France
Submission Deadline Aug 19, 2022
Notification Due Sep 16, 2022
Final Version Due Sep 23, 2022
Categories    computer vision   image processing   signal processing   machine learning
 

Call For Papers

Dear Colleagues
Please consider submitting your research paper (completed research and research in progress) to the 16th IEEE International Conference on
Signal Image and Internet Based Systems, Dijon, France, hosted by the University of Bourgogne 19-21 October 2022- https://www.sitis-conference.org/2022/
(Technical co-sponsoring by IEEE Computer Society and the IEEE Computer Society Technical Committee on Multimedia Computing).

Submission and Publication
--------------------------
The paper submission due date is 19th August 2022!!! Papers must be up to 8 pages and follow the IEEE double-column format. Submissions will be peer-reviewed by at least 3 peer reviewers. All papers accepted for presentation at the main tracks and workshops will be included in the conference proceedings published by the IEEE Computer Society and referenced in IEEE Xplore Digital Library, Scopus, DBLP, and major indexes. Paper submission will only be online via SITIS 2022 submission site: https://easychair.org/conferences/?conf=sitis2022


Aim and Scope
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The SITIS conference is dedicated to research on the technologies used to represent, share and process information in various forms, ranging from signal, image, and multimedia data to traditional structured data and semi-structured data found on the web. SITIS spans two inter- related research domains that increasingly play a key role in connecting systems across network-centric environments to allow distributed computing and information sharing. SITIS 2022 aims to provide a forum for high-quality presentations on research activities centered on two main tracks and several workshops.

Track on Signal Image & Vision Technologies (SIVT)
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The SIVT track focuses on recent developments in digital signal processing and evolutions in vision, image analysis, pattern analysis and recognition, coding and authentication, and retrieval

Image Acquisition, Vision
* Image Acquisition Devices and Sensors
* Device Calibration, Characterization and Modeling
* Image and Video Coding and Compression
* Multimodal and Multi-sensor Models
* …
Image Processing and Analysis
* Image filtering, Restoration, Enhancement
* Image Synthesis
* Pattern analysis and recognition
* Learning and classification
* Machine Learning Technologies for Vision
* Content-based Indexing, Search, and Retrieval
* Object and Face Recognition
* Object Detection and Localization
* …
Signal processing
* Theory and Methods
* Digital Filters and Filter Banks design
* Real-time signal processing
* Signal noise control
* Mobile Signal Processing
* Nonlinear and Multidimensional Signal Processing
* …
Applications
* Archiving
* Digital video broadcasting
* Biomedical Imaging
* Fuzzy logic applications
* Video surveillance and security
* Crowd analysis
* Biometrics and Applications
* …
Image/Video Coding and Authentication
* Coding standards
* Image and video over networks
* Error resilience
* Video processing and streaming
* Image sequence processing and analysis
* …

Chairs
David Fofi, University of Bourgogne, France
Sebti Foufou, University of Bourgogne, France

Track on Intelligent Systems, Services, and Applications (ISSA)
---------------------------------------------------------------
The ISSA track focuses on emerging concepts, architectures, protocols, and methodologies for information management on modern distributed
systems such as Cloud, Edge, Fog, and IoT.

Data semantics and Web-Centric Systems
* Ontologies and Conceptual Data Modeling
* Knowledge Representation and Reasoning
* Semantic Data Integration and Ontology Engineering
* Social Media and Social Semantics
* Folksonomies and Emergent Semantics
* Web/Data Mining and Machine Learning
* Recommender Systems and Crowd-sourcing
* Semantic Data Indexing, Search, and Retrieval
* …
Big Data Management and Analytics
* Theoretical Models for Big Data
* Computational Models for Big Data
* Data and Information Quality for Big Data
* Big Data Models, Representation Formats, and Algorithms
* Big Data Semantics and Knowledge Organization
* Big Data Architectures and Storage
* …
Service-based Computing
* Data and Knowledge as a Services
* Web Services, Mobile Services, and Service Computing
* Software Architecture and Middleware
* Semantic and Intelligent Services
* Service Discovery, Selection, and Recommendation
* Service Composition and Service-based data Integration
* …
 Intelligent Services and Applications
* Future Networks for Cloud Edge Fog and IoT
* Artificial Intelligence in Edge/IoT computing
* Semantic Interoperability and Semantic Mediators
* Data Analysis and Visualization for health and Smart Cities
* Smart Homes and Independent Living
* Intelligent Service Discovery, selection, and composition
* …
Information Security and Privacy
* Security Modeling and Access Control Protocol
* Web Security and Trust Management
* Fundamental Security Services on Network and Distributed Systems
* Security and Privacy for Emerging Technologies
* Big Data Security Protection, Confidentiality, Integrity, and Privacy
* …

Track Chairs
Paolo Ceravolo, University of Milan, Italy
Ana Roxin, University of Bourgogne, France
Robert Wrembel, Poznan University of Technology, PolandCertified AI/ML

Workshops
---------

The following workshops are co-located with SITIS2022

* Workshop on Appearance and Imaging (WAI)
* Workshop on Artificial Intelligence for Health (AI4H)
* Workshop on Artificial Intelligent Approaches for Image Processing (IWAIIP)
* Workshop on Computer-Aided Diagnosis for Biomedical Applications (CAD4MED)
* Workshop on Human Tracking and Behaviour Analysis (HTBA)
* Workshop on Innovative eLearning Technologies (eLearning)
* Workshop on Intelligent interfaces and Human factors in EXtended environments (IHEX)
* Workshop on IoT Security and Quality of Service (IoTSeQ)
* Workshop on Knowledge Acquisition Reuse & Evaluation (KARE)
* Workshop on Machine Learning and Internet of Things Based Intelligent Systems (MIBIS)
* Workshop on Numerical Algorithms and Methods for Data Analysis and Classification (NAMDAC)
* Workshop on PeRvasive sEnsing and muLtimedia UnDErstanding (PRELUDE)
* Workshop on Quality of Multimedia Services (QUAMUS)
* Workshop on Signal/Image Processing and Autonomous Robots (SIPAR)




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