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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. Content type: Research

    Visual saliency is a type of visual feature which simulates visual attention selection mechanism in biological system and has better robustness and invariance. A rapid infrared image and visible light image re...

    Authors: Gang Liu, Zhonghua Liu, Sen Liu, Jianwei Ma and Fei Wang

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:45

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  2. Content type: Research

    Metric learning is a significant factor for media retrieval. In this paper, we propose an attribute label enhanced metric learning model to assist face image retrieval. Different from general cross-media retri...

    Authors: Yuchun Fang and Qiulong Yuan

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:44

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  3. Content type: Research

    Because there is no temporal information available, rain removal with a single image is more challenging than that with a video. In this paper, we present a weighted median guided filtering method for rain rem...

    Authors: Zhenghao Shi, Yaowei Li, Changqing Zhang, Minghua Zhao, Yaning Feng and Bo Jiang

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:35

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  4. Content type: Research

    As the number of satellite emergency imaging tasks grows, the main goal of satellites becomes putting forward solutions and meeting users’ demands in a relatively short time. This study aims to investigate the...

    Authors: Yanjie Song, Danjie Huang, Ziyu Zhou and Yingwu Chen

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:29

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  5. Content type: Research

    Nighttime low illumination image enhancement is highly desired for outdoor computer vision applications. However, few works have been studied towards this goal. In addition, the low illumination enhancement pr...

    Authors: Zhenghao Shi, Mei mei Zhu, Bin Guo, Minghua Zhao and Changqing Zhang

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:13

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  6. Content type: Research

    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...

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

    Citation: EURASIP Journal on Image and Video Processing 2018 2018:3

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  7. Content type: Research

    A variational Bayesian blind restoration reconstruction based on shear wave transform for low-dose medical computed tomography (CT) image is proposed. The proposed algorithm eliminates the effects of the point...

    Authors: Yunshan Sun, Liyi Zhang, Teng Fei and Xiaopei Liu

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:84

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  8. Content type: Research

    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...

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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:79

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  9. Content type: Research

    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...

    Authors: Jingyu Zhang, Yunshan Sun, Yuan Zhang and Jianfu Teng

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:70

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  10. Content type: Research

    The large amount of bandwidth that is required for the transmission or storage of digital videos is the main incentive for researchers to develop algorithms that aim at compressing video data while keeping the...

    Authors: Weiyu Yu, Dan Hu, Na Tian and Zhili Zhou

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:66

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  11. Content type: Research

    Image segmentation plays a vital role in MRI abnormality detection. This paper presents a robust MRI segmentation method to outline potential abnormality blobs. Thresholding and boundary tracing strategies are...

    Authors: Changjiang Liu, Irene Cheng, Anup Basu and Jun Ye

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:60

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  12. Content type: Research

    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...

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

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:43

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  13. Content type: Research

    This paper researches on methods of the color image segmentation method of Lingwu long jujubes based on the maximum entropy to achieve the accuracy of image segmentation and improve accuracy of machine recogni...

    Authors: Yutan Wang, Yingpeng Dai, Junrui Xue, Bohan Liu, Chenghao Ma and Yaoyao Gao

    Citation: EURASIP Journal on Image and Video Processing 2017 2017:34

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