International Journal of Computational Vision and Robotics

Special Issue on: “Recent Advances in Computer Vision and Green Information Technology”

Recently, artificial intelligence forms such as deep learning and convolutional neural networks are being applied in many fields including the Internet of Things, energy-saving technologies and multimedia and signal processing technologies. Many applications and products using recent advanced technologies for computer vision, robotics and green energy are developed and applied in commercial products.
The objective of this special issue is to bring together research contributions on the development of new technology in computer vision, robotics and green energy technologies such as smart cities, smart farming and energy saving. Along with new methodologies in the field, new applications using these technologies will also be covered in this special issue.
The issue will carry revised and substantially extended versions of selected papers presented at ICGHIT 2018, but we are also inviting other experts to submit articles for this call. Selected papers will be notified to the corresponding authors after the conference closes.

Subject Coverage
Topics include, but are not limited to, the following:

Advanced multimedia processing and smart media technology and applications
– Recent computer vision and image processing technology and applications
– Artificial intelligence and human-computer interaction
– Intelligent robotics and HRI and intelligent transportation
– Green technology and energy saving
– Green computing and green IT convergence and applications
– Internet of Things security
– Green sensors/RFID circuit design
– System on Chip (SoC) for AI and green energy
– Brain science and bioengineering

Notes for Prospective Authors
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. (N.B. Conference papers may only be submitted if the paper has been completely re-written and if appropriate written permissions have been obtained from any copyright holders of the original paper).
All papers are refereed through a peer review process. Information for authors is available at All papers must be submitted online at
If you have any queries concerning this special issue, please email Prof. Chan-Su Lee at