Track 6: Multimedia, Computer Vision, and Image Processing

Track Chairs:

• Aura Conci, Fluminense Federal University, Brazil
• Nadjia Benblidia, Université Saad Dahlab – Blida1, Algeria

Scope

With the constant evolution in network technology and acquisition systems, digital images are all around us. The track focuses on recent researches in computer vision, image processing and pattern recognition. It offers discussions of recent advances in multimedia information security, data mining and deep artificial intelligence, 2D/3D imaging and displays, graphic design, 3D animation, and many applications that can benefit from advanced image processing technologies. The track aims to bring together researchers from academia and industry, to identify and discuss technical challenges, exchange novel ideas, explore enabling technologies, and report latest research efforts in this field.

The track welcomes submissions related to the practical and theoretical issues related to developing and deploying such systems. The main topics include but are not limited to :

Topics

• Intelligent Image / Video Analytics
• Digital Image and Video Processing
• Image Rendering and Quality
• Imaging Sensors and Acquisition Systems
• Content Based Image/Video Retrieval
• Vision for Graphics
• Human Behavior Understanding
• Deep Artificial Intelligence
• Motion and Tracking Algorithms and Applications
• Watermarking Methods and Protection
• Image Data Structures and Databases
• Colour Reproduction
• Image Compression, Coding, and Encryption
• Statistical and Structural Pattern Recognition
• Performance Analysis and Evaluation
• Novel Image Processing Applications
• Machine Learning Technologies for Vision
• Bioinformatics
• Virtual Reality and Simulations
• Augmented Reality Image Processing
• Computational and Architectural Aspects of Human Vision
• Innovative Multimedia Systems or Devices
• Internet / Mobile Multimedia Sharing
• Intelligent e-Health based on Multimedia Analysis
• Games
• Optimization Methods
• Vision and Languages

Program Committee:

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