The International Conference on Image Processing and Vision Engineering Call for Papers
The International Conference on Image Processing and Vision Engineering
(IMPROVE) 2021
will be virtual from 28-30 April 2021.
The deadline for paper submission is January 26th.
More information at www.improve.scitevents.org
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:
1. FUNDAMENTALS
2. METHODS AND TECHNIQUES
3. MACHINE LEARNING
4. MULTIMEDIA COMMUNICATIONS
5. IMAGING
6. APPLICATIONS
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
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
Texture Analysis and Classification
Face Recognition
Action Recognition
Model Optimization
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
KEYNOTE SPEAKERS
Matthias Niessner, Technical University of Munich, Germany
Luisa Verdoliva, University of Naples Federico II, Italy
PAPER SUBMISSION
Authors can submit their work in the form of a complete paper or an
abstract. Complete papers can be submitted as a Regular Paper,
representing completed and validated research, or as a Position Paper,
portraying a short report of work in progress or an arguable opinion
about an issue discussing ideas, facts, situations, methods,
procedures or results of scientific research focused on one of the
conference topic areas.
Authors should submit a paper in English, carefully checked for
correct grammar and spelling, addressing one or several of the
conference areas or topics. Each paper should clearly indicate the
nature of its technical/scientific contribution, and the problems,
domains or environments to which it is applicable. To facilitate the
double-blind paper evaluation method, authors are kindly requested to
produce and provide the paper WITHOUT any reference to any of the
authors, including the authors' personal details, the
acknowledgments section of the paper and any other reference that may
disclose the authors' identity.
When submitting a complete paper please note that only original papers
should be submitted. Authors are advised to read INSTICC's ethical
norms regarding plagiarism and self-plagiarism thoroughly before
submitting and must make sure that their submissions do not
substantially overlap work which has been published elsewhere or
simultaneously submitted to a journal or another conference with
proceedings. Papers that contain any form of plagiarism will be
rejected without reviews.
All papers must be submitted through the online submission platform
PRIMORIS and should follow the instructions and templates that can be
found under Guidelines and Templates. After the paper submission has
been successfully completed, authors will receive an automatic
confirmation e-mail.