IMPROVE 2023 : 3rd International Conference on Image Processing and Vision Engineering

CALL FOR PAPERS
3rd International Conference on Image Processing and Vision Engineering IMPROVE

website: https://improve.scitevents.org

April 21 - 23, 2023 Prague, Czech Republic



IMPORTANT DATES:

Regular Paper Submission: November 18, 2022 (expired)
Authors Notification (regular papers): February 2, 2023 (expired)
Final Regular Paper Submission and Registration: February 16, 2023


Position Paper Submission: January 19, 2023 (expired)
Authors Notification (position papers): February 23, 2023
Final Regular Paper Submission and Registration: March 8, 2023

Late-Breaking
Paper Submission: February 16, 2023
Authors Notification: March 8, 2023
Camera Ready and Registration: March 15, 2023

Scope:
IMPROVE is a comprehensive conference of academic and technical nature, focused on image processing and computer vision practical applications. It brings together researchers, engineers and practitioners working either in fundamental areas of image processing, developing new methods and techniques, including innovative machine learning approaches, as well as multimedia communications technology and applications of image processing and artificial vision in diverse areas. The conference accepts, after a strict peer review process, papers describing original work in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of IMPROVE with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions. Special sessions, dedicated to case-studies as well as technical tutorials, focusing on particular technical/scientific topics, are also envisaged. All those interested in presenting product demonstrations or methodologies are invited to contact the conference secretariat.

Conference Topics:
Area 1: Fundamentals
- Image Formation and Sensors
- Perception Engineering
- High-speed Computer Vision
- Image Fusion
- Digital Image Enhancement
- Image Restoration
- Image Analysis and Scene Understanding
- Image Retrieval
- Motion, Tracking and 3D Vision
- Video Understanding
- Texture Analysis and Classification
- Face Recognition
- Action Recognition
- 3D Vision Analyses 

Area 2: Methods and Techniques
- Digital Filtering
- Computer Vision Algorithms
- Spatial Domain Techniques
- Frequency Domain Techniques
- Algebraic Methods
- Image Segmentation
- Motion Detection
- Quality Enhancement
- Simulation and Software Tools

Area 3: Machine Learning
- Deep Learning and Neural Networks
- Adversarial Learning and GANs
- Backdoor Definition and Detection
- Bayesian Deep Learning
- Data Mining
- Pattern Recognition
- Classification and Clustering
- Model Optimization
- Ethics in Machine Learning
- Privacy and AI
- Diversity and inclusion in AI

Area 4: Multimedia Communications
- Image Compression and Multimedia Coding
- Multimedia over Networks
- Multimedia System Design
- Social Media Analysis
- Wearable Multimedia
- Interactive Visual Systems
- Video Indexing and Annotation
- Video and Image Security
- Intrusion Detection
- Watermarking and Steganography

Area 5: Imaging
- Digital Imaging and Rendering
- Optical Imaging
- Medical Imaging
- Neuroimaging
- Functional Imaging
- Radar Imaging
- Hyperspectral Imaging

Area 6: Applications
- Biometrics
- Remote Sensing
- Weather and Climate Modeling
- Traffic Control and Autonomous Vehicles
- Video Surveillance and Event Detection
- Crowds Analysis
- Image Forensics and Security
- Robotic Vision Engineering
- Virtual and Augmented Reality Applications
- Industrial Quality Control
- Military Applications
- Computer Vision in Visual Implants of Cameras or Photoreceptors for Visual Impaired




IMPROVE CONFERENCE CHAIR:
Sebastiano Battiato, University of Catania, Italy

IMPROVE PROGRAM CO-CHAIRS:
Francisco Imai, Apple Inc., United States
Cosimo Distante, CNR, Italy

PROGRAM COMMITTEE
https://improve.scitevents.org/ProgramCommittee.aspx

IMPROVE Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
Tel: +351 265 520 185
Fax: +351 265 520 186
Web: https://improve.scitevents.org
e-mail: [email protected]