EURASIP Journal on Image and Video Processing welcomes submissions to the special issue on Emerging Intelligent Media Technology for Public Security.
Recently, public safety and security have become a very important social issue in terms of the quality of life and welfare of citizens. As an important responsibility of some administrative organizations, like police stations and so on, public security is critical to stable environment and public order. It is also essential to social peace and national stability. Public security involves several aspects, including citizens’ life, work, study, entertainment, communication, etc. In the face of the complicated and ever-changing international situations as well as the internal arduous and burdensome tasks of reform, public security has been more and more significant.
However, in the era of big data and artificial intelligence (AI), the public security suffers from more severe technical challenges. The traditional police modes can no longer meet the urgent needs of effective prevention, timely suppression and efficient detection of criminal activities or an act of terrorism. Therefore, it is necessary to enhance the public safety and security by utilizing evolving intelligent sensor and media technologies such as monitoring public spaces and detecting risk factors, and to analyze situations, such as human behavior and psychological conditions.
Potential topics include but are not limited to:
- Advances in deep and reinforcement learning for recognition in Public Security
- Service and system architectures of Big Image/Video-based media
- Interfaces, protocols and associated image/video-related information representations for Public Security
- Fast and complexity-awareness algorithms for real-time multimedia computing for Public Security
- Design of hardware structure for low-power real-time image/video-centric security service
- Synchronization technique for distrubuted media for Public Security
- Security scheme of video/audio signals for protecting personal information
- Structure of smart-camera network management
- Distributed managing system for smart applications in Image/Video IoT-based Public Security
- Architectural performance evaluation of Public Security system
- Multimedia crowd flow analysis in Image/Video IoT-based Public Security
- Big data analysis technique for Image/Video IoT-based public security
Submission Instructions
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for EURASIP Journal on Image and Video Processing. The complete manuscript should be submitted through the EURASIP Journal on Image and Video Processing submission system. To ensure that you submit to the correct special issue please select the appropriate special issue in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on Emerging Intelligent Media Technology for Public Security. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Deadline for submissions: 30th September 2019
Lead Guest Editor
Prof. Brian (Byung-Gyu) Kim, Sookmyung Women’s University, Seoul, Rep. of Korea
Guest Editors
Prof. Partha Pratim Roy, Department of Computer Science and Engineering, IIT Roorkee, India
Prof. Naveen Chilamkurti, La Trobe University, Melbourne, Australia
Prof. Kostas E. Psannis, University of Macedonia, Thessaloniki, Greece
Submissions will also benefit from the usual advantages of open access publication:
- Rapid publication: Online submission, electronic peer review and production make the process of publishing your article simple and efficient
- High visibility and international readership in your field: Open access publication ensures high visibility and maximum exposure for your work - anyone with online access can read your article
- No space constraints: Publishing online means unlimited space for figures, extensive data and video footage
- Authors retain copyright, licensing the article under a Creative Commons license: articles can be freely redistributed and reused as long as the article is correctly attributed
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