Deep-based representations for image and video understanding have attracted a considerable attention in the last years. However, there is still room for improvements and collaboration of new and exciting ideas. This Special Issue aims at foresting the research regarding the applications of deep learning techniques for video- and image-oriented applications. All kinds of related submissions will be welcome, not limited to:
deep learning algorithms and their applications for image and video content;
deep-based data description;
optimization of deep learning techniques;
medical image-based applications;
learning algorithms for Restricted Boltzmann Machines and Deep Belief Nets;
Markov Chain Monte Carlo-oriented sampling strategies and their applications in the context of deep learning;
image and video processing applications in general.
Submission open: 1st November 2015
Submission deadline: 31st January 2016
Acceptance notification: 1st April 2016
Expected publication: 1st September 2016
All submissions for this special issue are required to follow the same format as regular full-length Pattern Recognition papers. The submission website for this special issue is located at: http://ees.elsevier.com/pr/. Please ensure to select ‘SI : DeepIMAGE_VIDEO’ as the \’Article Type\’.