CirSysVideo: Large-scale Visual Sensor Networks: Architectures and Applications Call for Papers

Special Issue name: Large-scale Visual Sensor Networks: Architectures and Applications
Publisher : IEEE Transactions on Cicrcuits and Systems for Video Technology
Deadline : April 30th 2019

Dear colleague,

We are glad to announce the opening of a special issue on
"Large-scale Visual Sensor Networks: Architectures and Applications" at the IEEE Transactions on Circuits and Systems for Video Technology journal.

Large-scale visual sensor networks are now progressively becoming a
fundamental piece of our lives and involved in almost all active
financial and technology announcements (Horizon 2020 for the European
Community), with a wide application in smart cities, traffic
monitoring, and crime event detection.  Motivated by several societal
needs, such as security, natural interfaces, gaming, affective
computing and assisted living, there has been an increasing interest
in developing monitoring visual sensor networks in recent years.

The integration of multiple devices in sensor networks is a hot issue
in the scientific community. Thanks to both the decreasing costs of
visual sensors and the increasing performance of devices, the
possibility of performing integration of forest of (homogeneous and
heterogeneous) sensors is not only a theoretical issue but also a
makeable solution in real contexts. On one hand, the capability of
processing data from multiple sensors opens towards new scenarios,
allowing the realization of large-scale sensor infrastructures. In
this way, many social activities can be faced from a new point of
view. On the other hand, the great advantages of large-scale networks
introduce new and challenging aspects to deal with, including data
synchronization, communications, security, data fusion, real-time
processing, high level decision making.

In the scenario of sensor networks, a key-role is played by
large-scale visual networks: the decreasing cost of smart devices
drives in the direction of realizing sensor networks able to easily
adapt to scaling in the number of devices: adding or removing sensors
in an immediate way is an important requirement for the architectures
of the future, where everybody should be able to modify the network
architecture without compromising the operation of the network
itself. In addition, the impact of deep learning based strategies in
the field of distributed networks deserves to be investigated. Our
idea is that the capability of managing large-scale sensor networks
will be strategic in the coming years for most IT organizations.

This special issue highlights the latest developments in large scale
visual sensor networks applications, ranging from the
design/implementation to the processing and understanding of large
amount of video data. It solicits papers proposing new solutions in
addressing some of the real challenges and difficulties in this area,
as well as prototypes, systems, tools and techniques, and general
survey papers indicating future directions. Note that large-scale
definition refers not just to the number of cameras, but also the size
of data (for example the number of target/people population size).

Topics of interest include, but are not limited to, the following topics applied to large-scale visual sensor networks for society:
- Analysis of communication issues in large-scale visual sensor networks;
- Multi-agent/multi sensing activity detection and recognition;
- Fast real-time detection, segmentation and classification of objects;
- Motion analysis and tracking in time-lapse data;
- Deep learning solutions for large scale vision;
- Mobile agents interactions and cooperation;
- Distributed collaborative information processing;
- Dynamic scene understanding and event detection;
- Evaluation of algorithms and visual systems;
- Sensor networks architectures;
- Abstractions for modular design;
- Fusion Processing for heterogeneous sensor networks;
- Cross-camera-view activity analysis;
- Applications (Surveillance, Event detection, Sport scene analysis, Assistive computer vision, ).

Manuscript submissions and reviewing process
Submission of a paper to CSVT is permitted only if the paper has not
been submitted, accepted, published, or copyrighted in another
journal. Papers that have been published in conference and workshop
proceedings may be submitted for consideration to CSVT provided that
(i) the authors cite their earlier work; (ii) the papers are not
identical; and (iii) the journal publication includes novel elements
(e.g., more comprehensive experiments). For submission information,
please consult the IEEE CSVT Information for Authors:  Authors should select the
Special Issue during submission procedure on Manuscript Central.

Important Dates
Initial Paper Submission:  30 April 2019
Initial Paper Decision: 1 July 2019
Revised Paper Submission: 30 August 2019
Revised Paper Decision: 30 September 2019
Publication Date: 1 December 2019

Guest Editors
Paolo Spagnolo - National Research Council - Italy
Amy Loutfi - Orebro University - Sweden
George Bebis - University of Nevada- USA
Wei-Shi Zheng - Sun Yat-Sen University - China
Hamid Aghajan - Gent University - Belgium
Shaogang Gong - Queen Mary University of London - UK
Leonid Sigal - University of British Columbia- Canada