Dr. Vretos is guest editor of the upcoming Sensors special issue “Smart Camera Sensor Networks”

Dr. Nicholas Vretos is guest editor of the upcoming Sensors special issue “Smart Camera Sensor Networks”


Today more than ever, we are witnessing an uncontrolled proliferation of surveillance cameras in our cities. Many of these cameras have sufficient computing power to process images autonomously and are able to communicate over high-speed networks and in the near future wirelessly over the 5G network. This grid potentially constitutes a network of intelligent cameras with great potential still largely unexplored in its practical applications. For example, video analysis and the extraction of semantic information from the scene can be carried out in a distributed way, implementing advanced strategies of cooperative vision, such as federated learning techniques. In anomaly detection applications, the use of these networks can greatly benefit from the cooperative vision offered by smart cameras.

The goal of this Special Issue is to invite high-quality, state-of-the-art research papers that deal with challenging issues in smart camera sensor networks. Topics of interest include:

  • Embedded vision programming
  • Distributed video coding
  • Self-reconfiguring camera networks
  • Self-organizing smart cameras
  • Wireless and mobile image sensor networks
  • Network coding
  • Compressive Sensing
  • Context-aware networks
  • Distributed video analytics
  • Distributed video and image retrieval
  • Resource management and task allocation
  • Data aggregation and information fusion
  • Collaborative object recognition and extraction
  • Multicamera intelligent video analytics
  • Multicamera object detection
  • Machine learning in distributed camera networks
  • Federated learning
  • Edge, fog, and ambient computing for video
  • Real-time computer vision

For more information regarding the topics of interest, the submission process and the relevant deadlines, visit the special issue webpage.

Visual Computing Lab

The focus of the Visual Computing Laboratory is to develop new algorithms and architectures for applications in the areas of 3D processing, image/video processing, computer vision, pattern recognition, bioinformatics and medical imaging.

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Contact Information

Dr. Petros Daras, Research Director
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Tel.: +30 2310 464160 (ext. 156)
Fax: +30 2310 464164
Email: daras(at)iti(dot)gr