Computational Intelligence and Neuroscience

Computational Intelligence in Image and Video Analysis


Publishing date
01 Mar 2022
Status
Closed
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

This issue is now closed for submissions.

Computational Intelligence in Image and Video Analysis

This issue is now closed for submissions.

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 2022
  • - Article ID 1857406
  • - Research Article

Detection of Aerobics Action Based on Convolutional Neural Network

Siyu Zhang
  • Special Issue
  • - Volume 2022
  • - Article ID 9474245
  • - Research Article

E-Commerce Picture Text Recognition Information System Based on Deep Learning

Bin Zhao | WenYing Li | ... | RongRong Song
  • Special Issue
  • - Volume 2021
  • - Article ID 2376601
  • - Research Article

Analysis and Research on Human Movement in Sports Scene

Yan Wang | Yuchen Zhang | ... | ShuMing Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 9923364
  • - Research Article

The Online Teaching Mode of College English in the Context of Gaussian Variant Genetic Algorithm

Shengfen Wang | Wei Hu | Yuan Lei
  • Special Issue
  • - Volume 2021
  • - Article ID 5398922
  • - Research Article

Music Composition and Emotion Recognition Using Big Data Technology and Neural Network Algorithm

Yu Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 1268453
  • - Research Article

Food Image Recognition and Food Safety Detection Method Based on Deep Learning

Ying Wang | Jianbo Wu | ... | Xianghui Zeng
  • Special Issue
  • - Volume 2021
  • - Article ID 9952109
  • - Research Article

D2-CovidNet: A Deep Learning Model for COVID-19 Detection in Chest X-Ray Images

Xin Wang | Yiyang Hu | ... | Wei Wang
  • Special Issue
  • - Volume 2021
  • - Article ID 2691346
  • - Research Article

Research and Application of Ancient Chinese Pattern Restoration Based on Deep Convolutional Neural Network

Xuhui Fu
  • Special Issue
  • - Volume 2021
  • - Article ID 4700630
  • - Research Article

[Retracted] Pop Music Trend and Image Analysis Based on Big Data Technology

Jinyan Ren
  • Special Issue
  • - Volume 2021
  • - Article ID 1539596
  • - Research Article

Design of Facial Recognition System Based on Visual Communication Effect

Xuhui Fu

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