Call for papers

Nowadays, perception technologies and intelligent systems are wide spread and applied to multiple environments and domains, ranging from the industrial settings (e.g. railways, aeronautics, smart logistics etc...) to smart agriculture, smart healthcare and many others.

However, if on one hand Advanced Perception Technologies that include different sensing devices such as 2D, 3D or hyperspectral cameras and devices for virtual and augmented reality are becoming largely available to a large audience of stakeholders, on the other hand, signals coming from one or more sensors need to be properly processed in order to perform anything but the most basic tasks.

Indeed, in scenarios like smart image/video processing, intelligent parameter monitoring, or high-level evaluations of complex events, the role of Intelligent Systems is gaining importance, with the objective of benefit from new original approaches using artificial intelligence and innovative data processing.

The main purpose of this workshop is to collect cutting-edge contributions in the field of signal and image processing (e.g., computer vision systems, new algorithms, or machine/deep learning applications) as well as smart data fruition (virtual and augmented reality), ranging from new methodologies to innovative approaches in different domains. Particular emphasis should be given to the application of deep learning techniques to solve common issues known in the literature as well as innovative best practices.

While preparing their contributions, authors must follow guidelines and technical instructions provided by Springer that can be found at:

https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines

The maximum number of pages is 10 + 2 pages for references.

Papers will be selected through a review process, taking into account originality, significance, clarity, soundness, relevance and technical contents.

Accepted Papers will be published by Springer LNCS post-proceedings