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Visual Information Learning and Analytics on Cross-Media Big Data

  This special issue focuses on learning methods to achieve high performance Visual Multimedia analysis and understanding under uncontrolled environments in large scale, which is also a very challenging problem. Moreover, it attracts much attention from both the academia and the industry. We hope this topic will aggregate top level works on the new advances in Visual Multimedia analysis and understanding from big surveillance data. The purpose of this collection is to provide a forum for researchers and practitioners to exchange ideas and progress in related areas.

Edited by: Zheng Xu, Junchi Yan and Richard Y. D. Xu

  1. Research

    Double regularization medical CT image blind restoration reconstruction based on proximal alternating direction method of multipliers

    To solve the problem of CT image degradation, a double regularization CT image blind restoration reconstruction method was proposed. The objective function including both a clear image and point spread functio...

    Jingyu Zhang, Yunshan Sun, Yuan Zhang and Jianfu Teng

    EURASIP Journal on Image and Video Processing 2017 2017:70

    Published on: 30 October 2017

  2. Research

    Noise-resistant network: a deep-learning method for face recognition under noise

    Along with the developments of deep learning, many recent architectures have been proposed for face recognition and even get close to human performance. However, accurately recognizing an identity from serious...

    Yuanyuan Ding, Yongbo Cheng, Xiaoliu Cheng, Baoqing Li, Xing You and Xiaobing Yuan

    EURASIP Journal on Image and Video Processing 2017 2017:43

    Published on: 27 June 2017