I am organizing a special session with Philippe Gosselin at this year's ESANN conference.

Machine Learning for multimedia applications
David Picard , ETIS – ENSEA, Philippe-Henri Gosselin , INRIA Rennes (France)

In recent years, many multimedia applications have shown very successful improvements by leveraging machine learning techniques. These applications include image and video classification, object recognition, image and video retrieval, or event detection.

However, these multimedia applications also uncover new machine learning problems in areas such as mid-level features learning, distance learning, feature combination, and so on.

This special session is intended to research papers that combine machine learning for multimedia problems. The following topics are of particular interest:

  • Mid-level features learning, Deep learning
  • Feature combination, Multiple kernel learning
  • Kernel methods, Kernel learning, Distance learning
  • Machine learning methods specially adapted to image classification, image and video retrieval, object or event recognition, etc.
Important Dates:
Submission of full paper: November 30, 2012
Notification of acceptance: February 1, 2013