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CGIV 2016 - 13th International Conference on Computer Graphics, Imaging and Visualization 2016

Date2016-03-29 - 2016-04-01

Deadline2016-02-01

VenueBeni mellal, Morocco Morocco

Keywords

Websitehttps://www.fstbm.ac.ma/cgiv/public

Topics/Call fo Papers

Information processing and decision support Laboratory of Faculty of Sciences and Technics, Sultan Moulay Sliman University organize the 13th International Conference on Computer Graphics, Imaging and Visualization CGIV'2016 a forum for researchers, practitioners and educators to present and discus the most recent innovations, trends, experiences and issues in the field of Computer Graphics, Imaging and Visualization. The Conference will be held in Beni Mellal city, Morocco. We welcome you to Beni Mellal city to experience the nature, history, and cultural.
Selected papers from CGIV'2016, after further revisions, will be published in the proceedings published by IEEE Computer Society .
Topics of interest for submission include, but are not limited to:
Data processing and large-scale knowledge
Graph Theory
Theory of complexity and approximation
Artificial intelligence
Decision support and information systems
Intelligent agents
Image/video coding and transmission
Stereoscopic and 3D coding
Image / video processing
Biomedical Engineering
Biomedical Image processing service image
Visual analytics of large data sets and networks
Visual analytics of spatial, temporal, and spatio-temporal data
Genome comparison visualization
Combining visual and computational methods of genome data exploration
High performance computing
Cognitive approaches and explanations for visual data mining for bioinformatics
Spatial data mining and knowledge discovery
Spatial data and environmental modeling
Visual content analysis and understanding
Motion Picture analysis and detection
Filtering of Still Images and Image Sequences
Video Segmentation Based on Multiple Features for Interactive and Automatic Multimedia Applications
Invariant Features in Pattern Recognition Fundamentals and Applications
Image Models for Facial Feature Tracking
Content-based browsing, indexing and retrieval of images, video and audio 2D/3D feature extraction

Last modified: 2015-09-01 23:23:23