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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

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  1. The coastline of Zhejiang is the most intensively developed region in China for industry. Based on GF-1 images, an object-oriented classification for coastline was created to monitor coastline exploitation sta...

    Authors: Anning Suo, Hongwei Ma, Fang Li, Baoquan Wei, Yong Lin and Jianhua Zhao
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:84
    Content type: Research Published on:

  3. The image is an important way for people to understand the world. How to make the computer have image recognition function is the goal of image recognition research. In image recognition, image segmentation te...

    Authors: Pengfei Shan
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:81
    Content type: Research Published on:

  4. Metal stamping character (MSC) automatic identification technology plays an important role in industrial automation. To improve the accuracy and stability of segmentation and recognition for MSCs, an algorithm...

    Authors: Zhong Xiang, Zhaolin You, Miao Qian, Jianfeng Zhang and Xudong Hu
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:80
    Content type: Research Published on:

  5. The extraction and capture of the target by the medium-long wave infrared optical system is mainly achieved based on the gray difference between the target image and the background image. Under complex backgro...

    Authors: Zhaobing Chen, Ning Chen, Kui Shi, Guannan Li and Xingyang Liu
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:78
    Content type: Research Published on:

  7. Histopathology image analysis is a gold standard for cancer recognition and diagnosis. But typical problems with histopathology images that hamper automatic analysis include complex clinical features, insuffic...

    Authors: Pinle Qin, Jun Chen, Jianchao Zeng, Rui Chai and Lifang Wang
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:75
    Content type: Research Published on:

  8. In order to reduce the influence on cover image caused by embedding algorithm, while keeping the histogram characteristics of cover image, in this paper a histogram preserving steganography algorithm is propos...

    Authors: Jie Cheng, Zhenzuo Chen and Rener Yang
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:74
    Content type: Research Published on:

  11. In view of the high complexity of image arts processing in modern product design, this paper proposes an image non-realistic art processing method in modern product design that relies on an inline block optimi...

    Authors: Xunxin Xu
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:71
    Content type: Research Published on:

  14. Image segmentation is an important preprocessing operation in image recognition and computer vision. This paper proposes an adaptive K-means image segmentation method, which generates accurate segmentation result...

    Authors: Xin Zheng, Qinyi Lei, Run Yao, Yifei Gong and Qian Yin
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:68
    Content type: Research Published on:

  16. In ground-penetrating radar (GPR) applications, a salient map is useful for data analysis and building a consensus for data interpretation. In this paper, we present a novel method to map the salient region of...

    Authors: Da Yuan and Deming Fan
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:65
    Content type: Research Published on:

  19. For compressive tracking (CT) algorithm, it is vulnerable to the occlusion, when tracking targets. An improved CT algorithm based on target division and feature point matching is proposed in this paper, which ...

    Authors: Wenhao Wang, Mingxin Jiang, Yunyang Yan, Xiaobing Chen and Wendong Zhao
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:60
    Content type: Research Published on:

  23. Recently, deep convolutional networks have demonstrated their capability of improving the discriminative power compared with other machine learning method, but its feature learning mechanism is not very clear....

    Authors: Yongqing Zhang, Tianyu Geng, Xi Wu, Jiliu Zhou and Dongrui Gao
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:51
    Content type: Research Published on:

  25. Determining banana’s ripening stages is becoming an essential requirement for standardizing the quality of commercial bananas. In this paper, we propose a novel convolutional neural network architecture which ...

    Authors: Yan Zhang, Jian Lian, Mingqu Fan and Yuanjie Zheng
    Citation: EURASIP Journal on Image and Video Processing 2018 2018:46
    Content type: Research Published on:

  26. 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
    Content type: Research Published on:

  27. 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
    Content type: Research Published on:

  28. 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
    Content type: Research Published on:

  29. 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
    Content type: Research Published on:

  30. 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
    Content type: Research Published on:

  32. 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
    Content type: Research Published on:

  34. 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
    Content type: Research Published on:

  35. 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
    Content type: Research Published on:

  36. 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
    Content type: Research Published on:

  37. 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
    Content type: Research Published on:

  38. 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
    Content type: Research Published on:

  39. This paper presents a system for editing strip-like patches on the mesh using swept surface. The user first selects a rough cylinder-like region, the boundary of which is automatically refined. A swept surface...

    Authors: Xiaohui Wang and Jingyan Qin
    Citation: EURASIP Journal on Image and Video Processing 2017 2017:57
    Content type: Research Published on:

  41. 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
    Content type: Research Published on:

  43. 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
    Content type: Research Published on: