Special Issue on: "Recent Advances and Emerging Topics in Computer Vision Methods and Image Analytics"

Guest Editors:
Ashish Khare, University of Allahabad, India
Mahesh Chandra, Birla Institute of Technology, India
Moongu Jeon, Gwangju Institute of Science and Technology, Republic of Korea

Computer vision methods and image analytics have steadily progressed over the last few decades and taken the lead in showing the significance of vision technology in our life. There is growing interest in theoretical aspects of image and video formation, modelling, preprocessing, recognition, motion detection, analysis, etc. The accumulation of big data sets is another serious challenge for established vision and imaging techniques.

Computer vision techniques and image analytics can be applied in a wide range of domains including healthcare, retail, transport, smart homes, biometrics, safety and security. The use of embedded imaging system in mobile devices has created a new domain of applications for imaging and vision techniques. The new requirement of computer vision methods and image analytics is to have high computing capabilities at limited resources and with real-time constraints.

This special issue will provide a forum to consolidate a broader range of the current research achievements and future trends in developing new theories, algorithms, architectures and applications of computer vision methods and image and video analytics.

The issue will carry revised and substantially extended versions of selected papers presented at the International Conference on Computational Vision & Robotics (ICCVR) 2014, but we also strongly encourage researchers unable to participate in the conference to submit articles for this call.

Subject Coverage

Suitable topics include, but are not limited to, the following:

Image denoising and deblurring
Image enhancement
Super-resolution
Multispectral imaging
Image interpolation
Image matching
Image fusion
Image retrieval
Image and video watermarking
Image registration and alignment
Computational models of image and vision
Integration of camera systems
Camera calibration
Object segmentation
Shadow and background removal
Feature learning
Scene parsing
Object classification
Object recognition
Shape and range analysis
Motion analysis and object tracking
3D vision and perception
Gait recognition and analysis
Pose estimation
Gesture recognition
Human activity recognition
Affective computing
Abnormal behaviour detection
Augmented video
Video summarisation
Visual tagging
Mobile visual search
Visual computing in cloud
Visual content sharing
Face recognition
Video surveillance
Optical character recognition
Medical imaging
Biometric analysis
Mobile applications
Big visual data handling and analysis
Applications of computer vision

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.

All papers must be submitted online. To submit a paper, please read our Submitting articles page.

Important Dates

Manuscript submission deadline: 31 December, 2015

First review notification: 31 March, 2016

Revised manuscript submission: 31 May, 2016

Final decision: 30 June, 2016

Final manuscript submission: 31 July, 2016