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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

  1. Content type: Research

    The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search r...

    Authors: Daniel Carlos Guimarães Pedronette, Rodrigo T. Calumby and Ricardo da S. Torres

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:27

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  2. Content type: Research

    Because the reliability of feature for every pixel determines the accuracy of classification, it is important to design a specialized feature mining algorithm for hyperspectral image classification. We propose...

    Authors: Xiaorui Ma, Jie Geng and Hongyu Wang

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:20

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  3. Content type: Research

    While face analysis from images is a well-studied area, little work has explored the dependence of facial appearance on the geographic location from which the image was captured. To fill this gap, we construct...

    Authors: Mohammad T. Islam, Connor Greenwell, Richard Souvenir and Nathan Jacobs

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:17

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  4. Content type: Research

    The occurrence of antinuclear antibodies (ANAs) in patient serum has significant relation to some specific autoimmune diseases. Indirect immunofluorescence (IIF) on human epithelial type 2 (HEp-2) cells is the...

    Authors: Xiang Xu, Feng Lin, Carol Ng and Khai Pang Leong

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:13

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  5. Content type: Research

    Optical flow methods are accurate algorithms for estimating the displacement and velocity fields of objects in a wide variety of applications, being their performance dependent on the configuration of a set of...

    Authors: Danillo R Pereira, José Delpiano and João P Papa

    Citation: EURASIP Journal on Image and Video Processing 2015 2015:11

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