IET Computer Vision
Note: The following journal information is for reference only. Please check the journal website for updated information prior to submission.
Journal Title
IET Computer Vision
IET COMPUT VIS
ISSN / eISSN
1751-9632 / 1751-9640
Aims and Scope
IET Computer Vision seeks original research papers in a wide range of areas of computer vision. The vision of the journal is to publish the highest quality research work that is relevant and topical to the field, but not forgetting those works that aim to introduce new horizons and set the agenda for future avenues of research in computer vision.
IET Computer Vision welcomes submissions on the following topics:
Biologically and perceptually motivated approaches to low level vision (feature detection, etc.);
Perceptual grouping and organisation
Representation, analysis and matching of 2D and 3D shape
Shape-from-X
Object recognition
Image understanding
Learning with visual inputs
Motion analysis and object tracking
Multiview scene analysis
Cognitive approaches in low, mid and high level vision
Control in visual systems
Colour, reflectance and light
Statistical and probabilistic models
Face and gesture
Surveillance
Biometrics and security
Robotics
Vehicle guidance
Automatic model aquisition
Medical image analysis and understanding
Aerial scene analysis and remote sensing
Deep learning models in computer vision
Both methodological and applications orientated papers are welcome.
Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review.
Special Issues Current Call for Papers:
Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdf
Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf
IET Computer Vision welcomes submissions on the following topics:
Biologically and perceptually motivated approaches to low level vision (feature detection, etc.);
Perceptual grouping and organisation
Representation, analysis and matching of 2D and 3D shape
Shape-from-X
Object recognition
Image understanding
Learning with visual inputs
Motion analysis and object tracking
Multiview scene analysis
Cognitive approaches in low, mid and high level vision
Control in visual systems
Colour, reflectance and light
Statistical and probabilistic models
Face and gesture
Surveillance
Biometrics and security
Robotics
Vehicle guidance
Automatic model aquisition
Medical image analysis and understanding
Aerial scene analysis and remote sensing
Deep learning models in computer vision
Both methodological and applications orientated papers are welcome.
Manuscripts submitted are expected to include a detailed and analytical review of the literature and state-of-the-art exposition of the original proposed research and its methodology, its thorough experimental evaluation, and last but not least, comparative evaluation against relevant and state-of-the-art methods. Submissions not abiding by these minimum requirements may be returned to authors without being sent to review.
Special Issues Current Call for Papers:
Computer Vision for Smart Cameras and Camera Networks - https://digital-library.theiet.org/files/IET_CVI_SC.pdf
Computer Vision for the Creative Industries - https://digital-library.theiet.org/files/IET_CVI_CVCI.pdf
Subject Area
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
ENGINEERING, ELECTRICAL & ELECTRONIC
CiteScore
3.80
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Computer Science - Computer Vision and Pattern Recognition | Q2 | #49/100 |
| Computer Science - Software | Q3 | #214/404 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2023) | Quartile |
|---|---|
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE - SCIE | Q4 |
| ENGINEERING, ELECTRICAL & ELECTRONIC - SCIE | Q3 |
H-index
29
Country/Area of Publication
ENGLAND
Publisher
Wiley
Publication Frequency
Bi-monthly
Year Publication Started
2007
Annual Article Volume
80
Open Access
YES
Contact
WILEY, 111 RIVER ST, HOBOKEN, USA, NJ, 07030-5774
Verified Reviews
2021.08.10 First-round revision
2021.08.20 Completed revisions and returned
2021.09.04 Accepted
The speed is incredibly fast, with the first-round revision taking about 3 weeks and the second-round taking 2 weeks. I have previously helped review articles for this journal, and the editors are highly efficient, requesting results within two weeks and often reminding reviewers, showing a great sense of responsibility. This time, I submitted my own article, and the editor found professional reviewers with insightful comments. Although this journal is not a top-tier one, it is not mediocre either, as it still presents some challenges. Based on the speed and responsible editing alone, it is highly recommended.
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