Visual Perception Modeling in Consumer and Industrial Applications

Submission Deadline: 31 May 2020

IEEE Access invites manuscript submissions in the area of Visual Perception Modeling in Consumer and Industrial Applications.

In recent literature, various visual perception mechanisms have been modeled to facilitate the relevant consumer and industrial applications, from low-level visual attention to higher-level quality of experience, object detection, and recognition. Specifically, visual attention can help us handle massive amounts of visual information efficiently, and visual attention modeling can help us simulate such visual attention mechanisms and focus on more salient information. Since the ultimate receiver of the processed signal is often human, the receiver’s perception of the overall quality is also very important, and quality perception modeling can help control the whole processing chain and guarantee a good perceptual quality of experience. Due to the rapid advancement of machine learning techniques, higher-level perception modeling related to semantics also becomes possible. How to utilize the most recent big data and learning techniques to interpret and model visual perception also becomes a problem. What’s more, a growing number of advanced multimedia technologies have become available over the last decade, such as High dynamic range (HDR) imaging, virtual reality (VR), augmented reality (AR), mixed reality (MR), and light field imaging. Visual perception modeling for such advanced multimedia technologies also needs further research. This Special Section solicits novel and high-quality articles to present reliable solutions and technologies of the above-mentioned problems.

The topics of interest include, but are not limited to:

• Visual perception modeling for various consumer and industrial applications
• Visual attention modeling, including the mechanism of visual attention, visual saliency prediction and the utilization of visual attention models in relevant applications
• Visual quality of experience modeling, including visual quality assessment, control, and optimization for consumer electronics and industrial applications
• Advanced learning technologies, such as deep learning, random forests (RF), multiple kernel learning (MKL), and their applications in visual perception modeling
• Statistical analytics and modeling based on big data (cloud) for images, videos or other formats of industrial data
• Emerging multimedia technologies, such as virtual reality (VR), augmented reality (AR), 4-dimensional (4-D) light fields, and high dynamic range (HDR), including visual perception modeling for these emerging technologies and their use in industry

We also highly recommend the submission of multimedia with each article as it significantly increases the visibility and downloads of articles.

Associate Editor: Guangtao Zhai, Shanghai Jiao Tong University, China

Guest Editors:

1. 1. Xiongkuo Min, The University of Texas at Austin, USA
   2. Vinit Jakhetiya, Indian Institute of Technology (IIT), Jammu, India
   3. Hamed Rezazadegan Tavakoli, Aalto University, Finland
   4. Menghan Hu, East China Normal University, China
   5. Ke Gu, Beijing University of Technology, China

Relevant IEEE Access Special Sections:

1. Recent Advances in Video Coding and Security
2. Biologically inspired image processing challenges and future directions
3. Integrative Computer Vision and Multimedia Analytics

IEEE Access Editor-in-Chief:  Prof. Derek Abbott, University of Adelaide

Article submission: Contact Associate Editor and submit manuscript to:
http://ieee.atyponrex.com/journal/ieee-access

For inquiries regarding this Special Section, please contact: zhaiguangtao@sjtu.edu.cn.