Special Section on Internet of Video Things (VSI-iovt)
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IoT applications usually offer more value when they get incorporated with video analytics, thus by networking visual sensors using IoT forms Internet of Video Things (IoVT). Video-analytics technology with the Internet of Things creates new opportunities. More recently, visual sensors have seen a considerable booming in IoT systems with their capability of providing richer and more versatile information.
Dr. Mustafa M Matalgah (Managing Guest Editor)
Professor, Electrical and Computer Engineering,
University of Mississippi, United States
Email: [email protected]; [email protected]
https://scholar.google.com/citations?user=t_ORWPMAAAAJ&hl=en
http://home.olemiss.edu/~mustafa/
Prof. Mahmoud Abdel-AtyProfessor, Mathematics and Information Science
Sohag University, Egypt
https://scholar.google.com/citations?user=1m5qGCQAAAAJ&hl=en
https://www.zewailcity.edu.eg/main/content.php?lang=en&alias=mahmoud_abdel-aty
Assoc. Prof. Dr. S. Habib Mazharimousavi
Eastern Mediterranean University, Turkey
https://scholar.google.com/citations?user=qw4kEmgAAAAJ&hl=en
https://staff.emu.edu.tr/habibmazhari/en
Short Bio:
Mustafa M. Matalgah received his Ph.D. in Electrical and Computer Engineering in 1996 from The University of Missouri, Columbia. From 1996 to 2002, he was with Sprint, Kansas City, MO, USA, where he led various projects dealing with optical transmission systems and the evaluation and assessment of 3G wireless communication emerging technologies. In 2000, he was a Visiting Assistant Professor at The University of Missouri, Kansas City, MO, USA. Since August 2002, he has been with The University of Mississippi in Oxford where he is now an Associate Professor in the Electrical Engineering Department. In Summer 2008, he was a Visiting Professor at Chonbuk National University in South Korea. His current technical and research experience is in the fields of emerging wireless communications systems and communication networks. He also previously published in the fields of signal processing and optical binary matched filters. He has published more than 70 refereed journal and conference proceeding papers, five book chapters, and more than 20 technical industrial applied research reports in these areas. Dr. Matalgah received several certificates of recognition for his work accomplishments in the industry and academia. He is the recipient of the Best Paper Award of the IEEE ISCC 2005, La Manga del Mar Menor, Spain. He is the recipient of the 2006 School of Engineering Junior Faculty Research Award at The University of Mississippi. He served on several international conferences technical program and organization committees.
Professor Mahmoud Abdel-Aty is a professor of mathematics and information science at the University of Science and Technology, Zewail City. Abdel-Aty's academic background started in 1990 when he received his Bachelor of Science degree, excellent with honors, from Assuit University, Egypt. In 1995 he earned his Master of Science degree in applied mathematics from the same university. Abdel-Aty then moved to Germany where he obtained his Doctor of Philosophy degree in applied mathematics from Max Plank Institute for Quantum Optics. In 2007, he received his Doctor of Science degree in mathematics and physics from the National University of Uzbekistan. Abdel-Aty began his career as an assistant lecturer at Assuit University. In 1995 he went to Egypt's South Valley University where he held various positions. He progressed from lecturer to assistant professor in 1999, and in 2004 he was appointed as an associate professor. From 2007 to 2014, Abdel-Aty was the director of Natural Sciences Publishing, a peer-reviewed academic publisher, in the United States. Abdel-Aty also served as the head of the University of Bahrain's scientific publishing center. In 2014, he became the vice president of the African Academy of Sciences. Abdel-Aty's research interests focus on applied mathematics, mathematical modeling, quantum circuits, quantum computation and information processing, transition state spectroscopy and laser control of physical systems, and the foundation of quantum mechanics. In recognition of his scientific efforts, Abdel-Aty is the recipient of many awards including the National Award of Excellence in basic Sciences, Prof. Fayza Al-Khoraphy's prize in physics, Amin Lotfy's Prize for Basic Sciences, Abdul Hameed Shoman Prize, State Prize of Distinction in Mathematical Sciences awarded by the Egyptian Academy of Science and technology, and the Third World Academy Award in Mathematics.
Assoc. Prof. Dr. S. Habib Mazharimousavi currently Associate Professor and Vice Chair, Department of Physics in Eastern Mediterranean University· He completed PhD in Theoretical Physics, 2008 from Eastern Mediterranean University, Turkey. He completed undergraduate and masters in Applied Physics from University of Isfahan, Iran in the year 1997 and 2000. His Skills and Expertise include General Relativity, Special and General Relativity, Gravitational Physics, Theoretical Physics, Quantum Mechanics, Space, Mathematical Physics, Theoretical Particle Physics, Quantum Field Theory, Particle Physics. He has authored and co-authored several articles. His complete resume can be found here (https://www.emu.edu.tr/stafffile/FDOTRII.pdf).
Special issue information:
Computers and Electrical Engineering
Video analytics has benefitted from the development of more complex software algorithms and machine-learning technology. It applies machine-learning algorithms to the video feeds for cameras to recognize people, objects, and situations automatically. Based on our analysis, demand for video-analytics applications will be greatest in many sectors, like retail, vehicle, and work-site in near future. The most common applications such as optimizing operations, enhancing public safety, increasing employee productivity, and improving maintenance make video analytics technology more versatile. Some of the most important recent advances in video-analytics technology involve real-time processing, greater accuracy, better business insights, access to large data sets, and more nuanced analyses.
At the same time reliability of wireless communications is still a challenging issue, their high availability ensure high reliability under diverse conditions.
IoVT has its unique characteristics in terms of sensing, transmission, storage, and analysis of data from cameras, which are fundamentally different from the conventional IoT. These new characteristics of IoVT are expected to impose significant challenges to existing technical infrastructures.
The aim of this special section is to improve the knowledge in IoVT deployment scenarios, sensor networks management, data collection, data processing methodologies, developing an algorithm, and optimizing operations of IoVT.
1. Deep neural networks for the analysis of IoVT systems2. Video frame-based evaluation using intelligent monitoring approach
3. Object segmentation, saliency detection methodologies in the computer vision process
4. AI-based trustworthiness analysis of video signal in IoVT system
5. Deep learning algorithms for data recognition from video signals
6. AI-based multimedia IoT systems for surveillance of video data
7. Temporal coherence analysis of video frames in IoVT environment
8. Development of domain-specific feature extraction algorithm from real-time video data.
Manuscript submission information:
New papers, or extended versions of papers presented at related conferences, are welcome. Submissions must not be currently under review for publication elsewhere. Conference papers may be submitted only if they are substantially extended (more than 50%), and must be referenced. All submitted papers will be peer-reviewed using the normal standards of CAEE, and accepted based on quality, originality, novelty, and relevance to the theme of the special section. By submitting a paper to this issue, the authors agree to referee one paper (if asked) within the time frame of the special section.
Before submission, authors should carefully read the Guide for Authors available at
https://www.elsevier.com/journals/computers-and-electrical-engineering/0045-7906/guide-for-authors
Authors should submit their papers through the journal's web submission tool at https://www.editorialmanager.com/compeleceng/default.aspx by selecting (VSI-iovt) under the "Issues" tab.
For additional questions, contact the Main Guest Editor.
Submission deadline: March 15, 2022
First notification: June 15, 2022
Submission of revised manuscript: July, 15, 2022
Notification of the re-review: Aug, 15, 2022
Final notification: September 15, 2022
Final paper due: October 30, 2022
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