Call for Papers

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 AREAS

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

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
• Autoencoders and Representation Learning
• 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
• Magnetic Resonance 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

KEYNOTE SPEAKERS

PAPER SUBMISSION

PUBLICATIONS

IMPORTANT DATES

SECRETARIAT

IMPROVE Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setubal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: improve.secretariat@insticc.org
Web: https://improve.scitevents.org

CONFERENCE CHAIR

PROGRAM CO-CHAIRS

PROGRAM COMMITTEE MEMBERS