14th International Conference on Computer Vision Theory and Applications, Prague, Tschechien

Abbrevation

VISAPP

Link

http://www.visapp.visigrapp.org/

City

Prague

Country

Czechia

Deadline Paper

2018-10-01

Start Date

2019-02-25

End Date

2019-02-27

Abstract

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 Topics: 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