Track 7

Track 7: Multimedia, Computer Vision and Image Processing

Track Chair:
Nadjia Benblidia, Saad  Dahlab  University, Blida1, Algeria

Co-Chairs:
Hussam Abdel-Karim Al-Rabai'ah, Al Ain University of Science and Technology, UAE


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

PC Members
• Abdellah Adib, LIM@II-FSTM, Morocco
• Abdelkaher Ait Abdelouahad, Faculté des sciences -Université Ibn Zohr, Morocco
• Hussam Alrabaiah, Al Ain University of Science and Technology, UAE
• Abdelkader Bellarbi, Centre Algérien de Développement des Technologies Avancées (CDTA), Algeria
• Nadjia Benblidia, Saad Dahlab University - Blida1, Algeria
• Mohammed Benmohammed, Université de Constantine, Algeria
• Youcef Chibani, USTHB, Algeria
• Aura Conci, Fluminense Federal University – UFF, Brazil
• Dalila Cherifi, IGEE (ex. INELEC), University of Boumerdes, Algeria
• Noureddine Doghmane, Annaba university, Algeria
• Joel Dos Santos, Celso Suckow da Fonseca Federal Center of Technological Education – CEFET/RJ, Brazil
• Philippe Fillatreau, LGP-ENIT, France
• Tolga Ensari, Istanbul University, Turkey
• Rachid Gherbi, University Paris Saclay, France
• Mahfoud Hamidia, University of Science and Technology Bab Ezzouar, Algeria
• Faten Kharbat, Al Ain University of Science and Technology, UAE
• Fouad Khelifi, Northumbria University, UK
• Assia Kourgli, USTHB, Algeria
• Slimane Larabi, Computer Science Department of USTHB University, Algeria
• Alexandre Meyer, Université Lyon 1, LIRIS, France
• Hassiba Nemmour, USTHB, Algeria
• Marco Porta, University of Pavia, Italy
• Alaoui Rachid, National School of Applied Sciences Agadir University Ibn Zohr Agadir Morocco
• F.Zohra Reguieg, University Saad Dahlab of Blida1, Algeria
• Mohamed Sadgal, Cadi Ayyad University, Morocco
• Imad Saleh , Laboratoire Paragraphe, Université Paris 8, France
• Hamid Seridi, Département d’informatique, Université 08 mai 45 Guelma, Algérie