Large Scale Learning for Media Understanding
The remarkable growth in computational power over the last decade has enabled important advances in machine learning, allowing us to achieve impressive results across all areas of image and video processing. Numerical methods that were once thought to be intractable are now commonly deployed to solve problems as diverse as 3D modeling from 2D data (photo tourism), object recognition (logo detection), human biometrics (face recognition), and video surveillance (automatic threat detection). Despite this tremendous progress, there are many open issues related to understanding visual data – we are still far from matching human visual ability in all of these areas. This special issue will look at emerging questions and algorithms related to complex visual processing tasks where machine learning is applicable.
Edited by: Anderson Rocha and Walter Scheirer