25. Únor 2019 - 8:00
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VISAPP 2019 - 14th International Conference on Computer Vision Theory and Applications (ins) AS | Prague | Pondělí, 25. Únor 2019

VISAPP 2019 - 14th International Conference on Computer Vision Theory and Applications 

VISAPP is part of VISIGRAPP, the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications. Registration to VISAPP allows free access to all other VISIGRAPP conferences.

Upcoming Deadlines
Regular Paper Submission: October 1, 2018
Regular Paper Authors Notification: November 29, 2018
Regular Paper Camera Ready and Registration : December 13, 2018
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.

Conference Areas
1 . Image Formation and Preprocessing
2 . Image and Video Analysis
3 . Image and Video Understanding
4 . Applications and Services
5 . Motion, Tracking and Stereo Vision

Conference Chair
Jose Braz, Escola Superior de Tecnologia de Setúbal, Portugal
PROGRAM CO-CHAIRS
Alain Tremeau, Université Jean Monnet in Saint Etienne, FranceGiovanni Maria Farinella, Università di Catania, Italy
AREA CHAIRS
Guanbin Li, Sun Yat-sen University, China -Applications and ServicesFabio Galasso, OSRAM GmbH, Germany -Image and Video UnderstandingM. Emre Celebi, University of Central Arkansas, United States -Image Formation and PreprocessingZoltan Kato, University of Szeged, Hungary -Motion, Tracking and Stereo VisionRaimondo Schettini, University of Milano Bicocca, Italy -Image and Video Analysis

Keynote Speaker
Daniel McDuff, Microsoft, United States




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. Companies interested in presenting their products/methodologies or researchers interested in lecturing a tutorial are invited to contact the conference secretariat.


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 FORMATION AND PREPROCESSING2. IMAGE AND VIDEO ANALYSIS3. IMAGE AND VIDEO UNDERSTANDING4. APPLICATIONS AND SERVICES5. MOTION, TRACKING AND STEREO VISION

AREA 1: IMAGE FORMATION AND PREPROCESSING

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 Generation Pipeline: Algorithms and Techniques


AREA 2: IMAGE AND VIDEO ANALYSIS

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 3: IMAGE AND VIDEO UNDERSTANDING

Cognitive Models for Interpretation, Integration and Control
Computational Photography
First Person (Egocentric) Vision
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 4: APPLICATIONS AND SERVICES

Entertainment Imaging Applications
Media Watermarking and Security
Multimedia Forensics
Assistive Computer Vision
Mobile Imaging
Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration)
Camera Networks and Vision
Document Imaging in Business
Medical Image Applications
Pervasive Smart Cameras
Human and Computer Interaction
Digital Photography


AREA 5: MOTION, TRACKING AND STEREO VISION

Image-based Modeling and 3D Reconstruction
Stereo Vision and Structure from Motion
Active and Robot Vision
Optical Flow and Motion Analyses
Tracking and Visual Navigation
Video Surveillance and Event Detection
Vision for Robotics
Video Stabilization                     



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