Computational Intelligence and Neuroscience

Computational Intelligence in Image and Video Analysis


Publishing date
01 Mar 2022
Status
Published
Submission deadline
05 Nov 2021

Lead Editor

1National University of Defense Technology, Hunan, China

2Nanyang Technological University, Singapore

3Government Bikram College of Commerce, Patiala, India


Computational Intelligence in Image and Video Analysis

Description

Nowadays, there are volumes of images and videos measured by multiple sensors including optical, hyperspectral, and radar. Those images and videos can be used to detect, recognize, and track targets. In this way, the anomalies, interested targets or regions can be found for battlefield surveillance, face recognition, geological survey, etc. With the development of computational intelligence, there are a variety of effective tools emerging including neural networks, expert systems, and other intelligent algorithms. These can be flexibly adjusted and modified for image and video analysis including feature extraction or decision making.

However, it is still a challenging task to properly analyze and interpret those data for both civil and military applications. The proper application or design of computational intelligence algorithms could contribute to the improvement of both effectiveness and efficiency of image and video processing.

Therefore, the aim of this Special Issue is to apply computational intelligence in image and video analysis. The Issue will provide novel guidance for relevant researchers and broaden the perspectives of computational intelligence researchers. Original research and review articles are welcomed.

Potential topics include but are not limited to the following:

  • Computational intelligence for image and video analysis
  • Computational intelligence tools in artificial intelligence
  • Computational intelligence in image interpretation
  • Computational intelligence in video interpretation
  • Computational intelligence in image classification / target recognition
  • Computational intelligence in video detection / tracking
  • Deep learning for image and video analysis

Articles

  • Special Issue
  • - Volume 2021
  • - Article ID 8993543
  • - Research Article

A Multiscale Clustering Approach for Non-IID Nominal Data

Runzi Chen | Shuliang Zhao | Zhenzhen Tian
  • Special Issue
  • - Volume 2021
  • - Article ID 9524705
  • - Research Article

Sentiment Classification for Financial Texts Based on Deep Learning

Shanshan Dong | Chang Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 6370509
  • - Research Article

Image Classification in HTP Test Based on Convolutional Neural Network Model

Lin Liu
  • Special Issue
  • - Volume 2021
  • - Article ID 2813819
  • - Research Article

Large Relics Scenario-Based Visualization Using Head-Mounted Displays

Hui Xu | Jiawan Zhang
  • Special Issue
  • - Volume 2021
  • - Article ID 5410440
  • - Research Article

Region Matching of SAR Images Using Blocks for Target Recognition

Chao Shan | Minggao Li | ... | Lei Han
  • Special Issue
  • - Volume 2021
  • - Article ID 1955116
  • - Research Article

Video Abnormal Event Detection Based on One-Class Neural Network

Xiangli Xia | Yang Gao
  • Special Issue
  • - Volume 2021
  • - Article ID 2391477
  • - Research Article

[Retracted] Landscape Planning and Image Analysis Based on Multipopulation Coevolution Particle Swarm Radial Basis Function Neural Network Algorithm

Yang Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 7844472
  • - Research Article

[Retracted] CNN-LSTM Hybrid Model for Kinematic Feature Analysis and Parabolic Radian Prediction in Basketball Videos

Ji Rong | Yitong Chen | Jianxin Yang
  • Special Issue
  • - Volume 2021
  • - Article ID 2436120
  • - Research Article

Design and Image Research of Tennis Line Examination Based on Machine Vision Analysis

Liu Yan | Sun Xin
  • Special Issue
  • - Volume 2021
  • - Article ID 6170070
  • - Research Article

Application of Convolution Neural Network (CNN) Model Combined with Pyramid Algorithm in Aerobics Action Recognition

Qi Liang

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