Towards Image/Video Perception with Entropy-Aware Features and Its Applications

Dear Colleagues,

Entropy is a good measurement of visual perceptual information and visual uncertainty, since it is capable of evaluating the amount of information that the multimedia source conveys to the human eyes. It is obvious that the perceptual information for the human visual system is crucial in many vision-related applications. In quality monitoring, the quality degradation varies as the perceptual information changes. As for visual enhancements, perceptual information is regarded as a good indicator of contrast. Moreover, visual uncertainty minimization can also be utilized in base selection, data segmentation, and reconstruction for images. However, limited efforts have been devoted to systematically and synthetically analyzing visual perceptual information. Its influence on visual perception and processing have not yet been fully investigated.

Today, with the deeper understanding of visual perception and increasing demands for higher effectiveness in visual signal processing, new opportunities are emerging in visual perception, modeling, imaging and processing based on the evaluation of visual information. This Special Issue aims at promoting cutting-edge research along this direction and offering a timely collection of work for researchers. We welcome high-quality, original submissions related to entropy-aware image/video perception.

The topics of interest include but are not limited to:

• Entropy-related feature modeling;
• Objective image/video quality perception based on entropy;
• Entropy-aware image/video understanding;
• Entropy-aware imaging;
• Virtual reality video processing;
• Augmented reality video processing;
• The analysis of multimedia systems;
• The analysis and measurement of the amount of information for multimedia;
• Machine learning;
• Naturalness statistic modeling;
• Vision modeling based on entropy;
• Objective detection based on the analysis of entropy;
• Image/video coding considering entropy;
• Other entropy-based multimedia signal processing.

Prof. Dr. Ke Gu
Dr. Weiling Chen
Dr. Vinit Jakhetiya
Dr. Jiheng Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the Special Issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Entropy is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.