Advances in Multimedia

Recent Machine Learning Progress in Image Analysis and Understanding


Publishing date
01 Nov 2018
Status
Published
Submission deadline
22 Jun 2018

Lead Editor
Guest Editors

1Harbin Institute of Technology, Weihai, China

2Queen’s University Belfast, Belfast, UK

3University of Pittsburgh, Pittsburgh, USA


Recent Machine Learning Progress in Image Analysis and Understanding

Description

Recently, artificial intelligence and machine learning have attracted increasing attention and achieved great success in both research community and industry especially in the field of multimedia. With the recent progress in machine learning especially in deep learning, many tasks in image analysis and understanding have been applied to solve real problems. For example, since the deep learning based classifier was successfully used in image classification in 2012, deep learning has also been widely used in other computer vision tasks such as video classification and image super-resolution. Learning an effective feature representation from a large number of data is capable of extracting the underlying structure features of the data, which produce better representation than hand-crafted features since the learned features adapt well to the tasks at hand. However, most of the existing deep learning based methods need to learn a huge number of parameters especially with the increasingly complicated network, which restricts their applications in image analysis and understanding in real-time environments.

The primary purpose of this special issue is to organize a collection of recently developed machine learning methods as well as their applications in image analysis and understanding. The special issue is intended to be an international forum for researchers to report the recent developments in this field in an original research paper style. Review articles which describe the current state of the art are also welcomed.

Potential topics include but are not limited to the following:

  • Image classification
  • Image segmentation
  • Image tracking
  • Image saliency
  • Behavior understanding

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 1685890
  • - Editorial

Recent Machine Learning Progress in Image Analysis and Understanding

Shengping Zhang | Huiyu Zhou | Lei Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 4189125
  • - Research Article

Height Estimation of Target Objects Based on Structured Light

Wei Liu | Yongsheng Zhao
  • Special Issue
  • - Volume 2018
  • - Article ID 7479316
  • - Research Article

Region Space Guided Transfer Function Design for Nonlinear Neural Network Augmented Image Visualization

Fei Yang | Xiangxu Meng | ... | Lei Liu
  • Special Issue
  • - Volume 2018
  • - Article ID 6710865
  • - Research Article

Can Deep Learning Identify Tomato Leaf Disease?

Keke Zhang | Qiufeng Wu | ... | Xiangyan Meng
  • Special Issue
  • - Volume 2018
  • - Article ID 4976372
  • - Research Article

Performance Evaluation of Contour Based Segmentation Methods for Ultrasound Images

R. J. Hemalatha | V. Vijaybaskar | T. R. Thamizhvani
  • Special Issue
  • - Volume 2018
  • - Article ID 3521720
  • - Research Article

A New Semisupervised-Entropy Framework of Hyperspectral Image Classification Based on Random Forest

Mengmeng Sun | Chunyang Wang | ... | Xiao Li
  • Special Issue
  • - Volume 2018
  • - Article ID 7481645
  • - Research Article

Visual Tracking Based on Discriminative Compressed Features

Wei Liu | Hui Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 3202495
  • - Research Article

Impostor Resilient Multimodal Metric Learning for Person Reidentification

Muhamamd Adnan Syed | Zhenjun Han | ... | Jianbin Jiao
Advances in Multimedia
 Journal metrics
Acceptance rate-
Submission to final decision84 days
Acceptance to publication19 days
CiteScore0.770
Impact Factor-
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