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:

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 Tracking 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

VISIGRAPP 2021 will have several invited keynote speakers, who are internationally recognized experts in their areas. Their names are not yet confirmed.

PAPER SUBMISSION

PUBLICATIONS

All accepted papers will be published in the conference proceedings, under an ISBN reference, on paper and on digital support.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper on our digital library is given a DOI (Digital Object Identifier).
The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Semantic Scholar, Google Scholar and Microsoft Academic.

IMPORTANT DATES

SECRETARIAT

VISAPP Secretariat
Address: Avenida de S. Francisco Xavier, Lote 7 Cv. C
             2900-616 Setúbal - Portugal
Tel.: +351 265 520 185
Fax: +351 265 520 186
e-mail: visapp.secretariat@insticc.org
Web: http://www.visapp.visigrapp.org

VENUE

VISIGRAPP CONFERENCE CO-CHAIRS

PROGRAM CO-CHAIRS

PROGRAM COMMITTEE MEMBERS