Skip to main content

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

    Real time detection system for rail surface defects based on machine vision

    The detection of rail surface defects is an important part of railway daily inspection, according to the requirements of modern railway automatic detection technology on real-time detection and adaptability. T...

    Yongzhi Min, Benyu Xiao, Jianwu Dang, Biao Yue and Tiandong Cheng

    EURASIP Journal on Image and Video Processing 2018 2018:3

    Published on: 11 January 2018

  2. Research

    Design of mobile augmented reality game based on image recognition

    The work studied a complete set of development system for mobile augmented reality game based on combination of AR technology and RTS game. An effective image recognition strategy was proposed through SIFT fea...

    Boping Zhang

    EURASIP Journal on Image and Video Processing 2017 2017:90

    Published on: 20 December 2017

  3. Research

    A fast framework construction and visualization method for particle-based fluid

    Fast and vivid fluid simulation and visualization is a challenge topic of study in recent years. Particle-based simulation method has been widely used in the art animation modeling and multimedia field. Howeve...

    Fengquan Zhang, Zhaowei Wang, Jian Chang, Jianjun Zhang and Feng Tian

    EURASIP Journal on Image and Video Processing 2017 2017:79

    Published on: 1 December 2017

  4. 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

  5. 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