VISAPP 2013

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

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

AREA 4: APPLICATIONS AND SERVICES

Entertainment Imaging Applications Digital Photography and Online Photo Sharing Media Watermarking, Security, and Forensics Camera Networks and Vision Document Imaging in Business Medical Image Applications Pervasive Smart Cameras Human and Computer Interaction

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

PUBLICATIONS

All accepted papers (full, short and posters) will be published in the conference proceedings, under an ISBN reference, on paper and on CD-ROM support. All papers presented at the conference venue will be available at the SciTePress Digital Library (http://www.scitepress.org/DigitalLibrary/). A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer-Verlag in a CCIS Series book. The proceedings will be submitted for indexation by Thomson Reuters Conference Proceedings Citation Index, INSPEC, DBLP and EI.

Important Dates

Conference Date: 21 - 24 February, 2013

Regular Paper Submission: July 31, 2012 Authors Notification (regular papers): November 2, 2012 Final Regular Paper Submission and Registration: November 23, 2012

Secretariat

VISAPP Secretariat Address: Av. D. Manuel I, 27A, 2º esq.            2910-595 Setúbal - Portugal

Tel.: +351 265 520 184 Fax: +44 203 014 5434

e-mail: visapp.secretariat@insticc.org Web: http://www.visapp.visigrapp.org