MAIN TOPICS

 

The conference is devoted to image processing algorithms and their applications. Five main topics are mainly encouraged (Details are given at the bottom of this page):

 

  • Image and Video Processing Theory
  • Image and Video Processing Applications
  • Computer Science and Imaging
  • Real Time Image Processing
  • Human Focused Analysis

Accepted and registred papers will be submitted to be published in IEEE Explore: Memorundum Of Understanding (MOU#38799).

 

TUTORIALS
 

 

JOURNAL SPECIAL ISSUE

 

Authors of exceptional papers may be invited to submit extended versions to be considered for publication in an IET peer-reviewed journal either: 

 
PAPER SUBMISSION
 

Papers describing general surveys, image processing fundamental theory, specific medical imaging applications, advanced prototypes, tools and methodologies are welcomed. Full papers describing original contributions are encouraged in the Conference topics mentioned above.

 

Full paper submission deadline: July 15th, 2016,

Acceptance notification: July 30th, 2016,

Final paper submission deadline:  September 15th, 2016

 

SPECIAL SESSION PROPOSALS

 

Special sessions are encouraged in the following thematics: Inverse Problems and Sparse modelling in Imaging Science, Deterministic regularization and Bayesian Solutions, Data reduction and Component Analysis beyond classical PCA and ICA, Supervised and Unsupervised Classification: Beyound classical LDA, QDA, GMM and naive Bayes.

 

DETAILED TOPICS
 

Special attention will be devoted to image processing algorithms and the way to implement these algorithms for best performances. Hardware implementations on embedded platforms are of particular interest. Five main topics will be treated:

 

1. Image and Video Processing Theory (IVPT) 

  • 1.1. Image restoration,
  • 1.2. Image Segmentation,
  • 1.3. Image representation,
  • 1.4. Pattern recognition,
  • 1.5. Image Fusion,
  • 1.6. Clustering,
  • 1.7. 3D Imaging,
  • 1.8. Watershed,
  • 1.9. Decision Tree,
  • 1.10. Mathematical morphology,
  • 1.11, Gabor Wavelet Network,
  • 1.12. Local Binary Patterns,
  • 1.13 Inverse Problems.
  • 1.14 Data reduction,
  • 1.15 Supervised/unsupervised classification,
  • 1.16 Motion Analysis,
  • 1.17 Multiple View Analysis.
2. Image and Video Processing Applications (IVPA) 
  • 2.1.Medical Imaging,
  • 2.2. Content Based Image Retrieval,
  • 2.3. Biometric Authentication,
  • 2.4. Stereovision,
  • 2.5. Remote Sensing,
  • 2.7. Cryptography,
  • 2.8. Watermarking,
  • 2.9. Vision Systems,
  • 2.10. Artificial Neural Networks,
  • 2.11. Object Detection and Recognition,
  • 2.12. 2D/3D Object Tracking,
  • 2.13. Adaboost,
  • 2.14. Biological Imaging,
  • 2.15. Breast Cancer Diagnosis,
  • 2.16. Surveillance and Security,
  • 2.17 Robotics,
  • 2.18. Ubiquitous Computing,
  • 2.19. Compression,
  • 2.20. Virtual and Augmented Reality.
3. Computer Science and Imaging (CSI)
  • 3.1. Ubiquitous Computing,
  • 3.2. Possibilistic Theory,
  • 3.3.Data Fusion,
  • 3.4. Data Mining,
  • 3.5. Signal Modelling,
  • 3.6. Bio-Inspired Computing,
  • 3.7. Image Coding,
  • 3.8. Optimization Methods,
  • 3.9. Optimization with Genetic Algorithms,
  • 3.10. Cloud Computing.
4. Real Time Image Processing (RTIP)
  • 4.1. Hardware Implementation of Image Applications,
  • 4.2. Computer Architecture,
  • 4.3. Computer Aided Design,
  • 4.4. Embedded Systems & HW/SW Co-Design,
  • 4.5. Systems on Chip,
  • 4.6. Artificial Intelligence Implementation,
  • 4.7. Evolutionary Based Image Processing,
  • 4.8. Pipeline techniques,
  • 4.9.Vision System Implementation,
  • 4.10. Image Networking.
5. Human Focused Analysis (HFA)
  • 5.1. Behavior Analysis,
  • 5.2. Activity Recognition,
  • 5.3. People Recognition,
  • 5.5. Novelty Discovery,
  • 5.6. Change Detection,
  • 5.7 Gesture Recognition,
  • 5.8 Posture Recognition,
  • 5.9 Facial Expression Recognition,
  • 5.10. Human and Group Interaction Analysis.