Large-scale learning for media understanding

Written by professor Anderson Rocha from RECOD (Unicamp) and professor Walter Scheirer from University of Notre Dame, the editorial article of the EURASIP Journal on Image and Video Processing special issue Large-scale learning for media understanding, came available online recently as SpringerOpen publication.

The scientific community has seen a significant growth in machine learning, which is a door opening to advance all areas of image and video processing. Despite this progress, we still have many open issues related to visual data processing. In this editorial article, the authors highlight some import aspects that might help researches to move towards the solution of these issues.

Because the editorial article is published as SpringerOpen, it is open access.


Anderson Rocha and Walter J. Scheirer. Large-scale learning for media understanding. EURASIP Journal on Image and Video Processing 2015, 2015:24 doi:10.1186/s13640-015-0080-7

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