The proliferation of digital multimedia data has fundamentally changed the way images, video, audio and three-dimensional data are stored and used. The huge and ever growing volume 
of data in online repositories such as YouTube and Flickr requires novel approaches to content based multimedia search and retrieval. The goal of this workshop is to bring together an interdisciplinary community from mathematics, computer vision, computer audition, engineering and machine learning to present and discuss the different facets of this problem. We will discuss both domain specific issues and broader topics in machine learning and large-scale computational schemes, such as metric learning, ‘learning to rank’ and nearest neighbors search in high dimensions.
Juan Bello
(New York University)
Samy Bengio
(Google Inc.)
Ronald Coifman
(Yale University)
Kristen Grauman
(University of Texas at Austin)
Yosi Keller
(Bar-Ilan University)
Yann LeCun
(New York University)
Cordelia Schmid
(INRIA)
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