14th International Workshop on Content-based Multimedia Indexing

Call for “Deep Learning for Multimedia indexing” special session papers

Authors are encouraged to submit previously unpublished research papers related to the use of deep learning for content-based multimedia indexing.

Topics include (but are not limited to):

• Deep convolutional networks for multimedia indexing;
• Use of learnt features for multimedia indexing;
• Hybrid (“classical” and deep) systems for multimedia indexing;
• Deep learning for audio indexing;
• Deep learning for text indexing;
• Multimodal deep learning for video indexing;
• Deep convolutional networks for object localization;
• Understanding deep networks for multimedia indexing;
• Recurrent neural network architectures for multimedia.

Paper submission

Authors are invited to submit full length 6 pages (to be presented as oral presentation). The submissions are peer reviewed in a single blind process. The language of the workshop is English.

For guidelines and submission procedure see Paper submission.

The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of the best papers of the conference will be invited to submit extended versions of their contributions to a special issue of Multimedia Tools and Applications journal (MTAP).

Important dates

• Paper submission deadline: February 15 March 7, 2016;
• Notification of acceptance: March 31 April 5, 2016;
• Camera-ready papers due: April 14 April 18, 2016.

Organizers:

• Georges Quénot, CNRS, France (Georges.Quenot at imag dot fr);
• Laurent Besacier, University of Grenoble-Alpes, France (Laurent.Besacier at imag dot fr).