Journal of Cloud Computing welcomes submissions to the thematic series entitled "Smart communications and networking for future video surveillance"
While future video surveillance applications require massive devices with real-time communication, computation, management and control, the growing complexity of wireless video communications and networking has made monitoring the multitude of elements intractable. This challenge has brought several issues for developing communications and networking methods for large scale and sustainable video data. Recently, smart communications and networking have been investigated to cope with future video surveillance, which have shown their great potentials in real time communications, intelligent processing, reliable understanding and efficient storage of video and multimedia data.
However, traditional network design and performance optimization approaches are no longer competent and cannot satisfy and serve that future wireless networks regarding operation and cost optimization effectively for video surveillance. Thus, there is a need for a novel paradigm of proactive, self-aware, self-adaptive and predictive design to solve the challenges faced in smart communication and networking. Systematic exploitation of the video data with smart communications and networking helps to make the system smart, intelligent, and facilitates cost-effective design and performance optimization.
Although the studies on wireless communications and networking for video surveillance are valuable for both research and industry, there are many fundamental problems remain unsolved. In order to pursue first-class research outputs along this direction, this special issue aimed at promoting the scaling-up of smart communications for future video surveillance, the development of smart networking models, the design of wireless charging system for video devices, the extension to self-supervised, multi-intelligent, and robust video / image /audio communications, and the applications to video-based Image recognition, social network, multimedia transmission, Intelligent medical treatment,emergency care, etc. This thematic series will provide the image/video community with a forum to present new academic research and industrial development in future video surveillance.
Topics of interest include, but are not limited to:
- protocol design and optimization with smart communications
- Resource allocation with smart networking
- QoS/QoE provisioning for video surveillance
- Self-supervised smart video surveillance
- Multi-intelligent and robust smart communications
- Smart video-based modeling and optimization
- Smart multimedia networking
- Incentive for smart video surveillance system
- Intelligent wireless charging system
- Network analytics with smart video surveillance
- Video-based Intelligent medical treatmentand emergency care
Submission instructions
Before submitting your manuscript, please ensure you have carefully read the submission guidelines for Journal of Cloud Computing. The complete manuscript should be submitted through the Journal of Cloud Computing submission system. To ensure that you submit to the correct thematic series please select the appropriate special issue in the drop-down menu upon submission. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Submission due date: 31 January 2020
Guest editors:
Ying Xiao, Wuxi Institute of Technology, China​​​​​​​
Shuihua Wang, Loughborough University, UK
Shi Qiu, Chinese Academy of Sciences, Xi’an, China
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.