Conference Information
VISAPP 2020: International Conference on Computer Vision Theory and Applications
http://www.visapp.visigrapp.org/
Submission Date:
2019-10-04
Notification Date:
2019-12-03
Conference Date:
2020-02-27
Location:
Valletta, Malta
Years:
15
CORE: c   QUALIS: b3   Viewed: 11811   Tracked: 11   Attend: 4

Conference Location
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Call For Papers
SCOPE

The International Conference on Computer Vision Theory and Applications aims at becoming a major point of contact between researchers, engineers and practitioners on the area of computer vision application systems. Five simultaneous tracks will be held, covering all different aspects related to computer vision: Image Formation and Preprocessing; Image and Video Analysis and Understanding; Motion, Tracking and Stereo Vision; and Applications and Services. We welcome papers describing original work in any of the areas listed below. Papers describing advanced prototypes, systems, tools and techniques as well as general survey papers indicating future directions are also encouraged. Paper acceptance will be based on quality, relevance to the conference themes and originality. The conference program will include both oral and poster presentations. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged. 

CONFERENCE AREAS

The last decade has seen a revolution in the theory and application of Artificial Intelligence and Machine Learning in Computer Vision. In this conference edition, we look at advanced in Computer Vision based on Machine Learning methods. 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. IMAGE AND VIDEO FORMATION, PREPROCESSING AND ANALYSIS
2. IMAGE AND VIDEO UNDERSTANDING
3. MOTION, TRACKING AND STEREO VISION
4. MOBILE AND EGOCENTRIC VISION FOR HUMANS AND ROBOTS
5. APPLICATIONS AND SERVICES

AREA 1: IMAGE AND VIDEO FORMATION, PREPROCESSING AND ANALYSIS

Image Formation, Acquisition Devices and Sensors
Device Calibration, Characterization and Modeling
Image Enhancement and Restoration
Image and Video Coding and Compression
Multimodal and Multi-Sensor Models of Image Formation
Image Registration
Segmentation and Grouping
Early and Biologically-Inspired Vision
Color and Texture Analyses
Shape Representation and Matching
Features Extraction
Visual Attention and Image Saliency

AREA 2: IMAGE AND VIDEO UNDERSTANDING

Cognitive Models for Interpretation, Integration and Control
Computational Photography
Deep Learning for Visual Understanding
Near Duplicate Image Retrieval
Machine Learning Technologies for Vision
Face and Expression Recognition
Content-Based Indexing, Search, and Retrieval
Object and Face Recognition
Object Detection and Localization
Categorization and Scene Understanding
Event and Human Activity Recognition

AREA 3: MOTION, TRACKING AND STEREO VISION

Image-Based Modeling and 3D Reconstruction
Stereo Vision and Structure from Motion
Simultaneous Localization and Mapping
Optical Flow and Motion Analyses
Tracking and Visual Navigation
Video Surveillance and Event Detection
Video Stabilization

AREA 4: MOBILE AND EGOCENTRIC VISION FOR HUMANS AND ROBOTS

Understanding from Wearable and Mobile Cameras
Gaze Traking and Estimation
Mobile and Egocentric Object Detection and Recognition
Mobile and Egocentric Action Recognition
Mobile and Egocentric Summarization
Mobile and Egocentric Behavioural Analysis
Egocentric Vision for Learning to Act
Anticipation and Forecasting from Egocentric Vision
Mobile and Egocentric Localization
Egocentric Vision for Interaction Understanding
Mobile Vision
First Person Vision
Vision for Robotics
Active Vision

AREA 5: APPLICATIONS AND SERVICES

Entertainment Imaging Applications
Media Watermarking and Security
Multimedia Forensics
Assistive Computer Vision
Mobile Imaging
Imaging and Vision for Cultural Heritage
Camera Networks and Vision
Document Imaging in Business
Medical Image Applications
Pervasive Smart Cameras
Human and Computer Interaction
Digital Photography

VISIGRAPP KEYNOTE SPEAKERS

Alan Chalmers, University of Warwick, United Kingdom
Matthias Niessner, Technical University of Munich, Germany

PAPER SUBMISSION

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. 

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. 

Authors can submit their work in the form of 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. 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. 
Last updated by Dou Sun in 2019-06-19
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