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VISAPP 2018 : 13th International Conference on Computer Vision Theory and ApplicationsConference Series : International Conference on Computer Vision Theory and Applications | |||||||||||||||
Link: http://www.visapp.visigrapp.org/?y=2018 | |||||||||||||||
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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. Companies interested in presenting their products/methodologies or researchers interested in lecturing a tutorial 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. IMAGE FORMATION AND PREPROCESSING 2. IMAGE AND VIDEO ANALYSIS 3. IMAGE AND VIDEO UNDERSTANDING 4. APPLICATIONS AND SERVICES 5. 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 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 Computational Photography Near Duplicate Image Retrieval AREA 4: APPLICATIONS AND SERVICES Entertainment Imaging Applications Camera Networks and Vision Document Imaging in Business Medical Image Applications Pervasive Smart Cameras Human and Computer Interaction Digital Photography Media Watermarking and Security Multimedia Forensics Mobile Imaging Imaging for Cultural Heritage (Modeling/Simulation, Virtual Restoration) 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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