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PREVISION

Prediction and Visual Intelligence for Security Information

The mission of PREVISION is to empower the analysts and investigators of LEAs with tools and solutions not commercially available today, to handle and capitalize on the massive heterogeneous data streams that must be processed during complex crime investigations and threat risk assessments. With criminals being ever more determined to use new and advanced technology for their cause, the aim is to establish PREVISION as an open and future-proof platform for providing cutting-edge practical support to LEAs in their fight against terrorism, organized crime and cybercrime, which represent three major cross-border security challenges that are often interlinked.

PREVISION provides:

  1. Advanced near-real-time analytical support for multiple big data streams (coming from online social networks, the open web, the Darknet, CCTV and video surveillance systems, traffic and financial data sources, and many more)
  2. Allowing their semantic integration into dynamic and self-learning knowledge graphs that capture the structure, interrelations and trends of terrorist groups and individuals, cybercriminal organisations and organised crime groups, giving rise to enhanced situational awareness in these fields.

PREVISION has a pan-European engagement and support agenda for LEAs: ten (10) different LEAs and practitioners take part in its consortium, while additional ones (including Europol) have joined its external advisory board. A strong inter-disciplinary dimension, combining technological expertise with sociological, psychological, linguistic and data science models, will lead to a common strategic approach for predicting:

  1. Abnormal and deviant behavior
  2. Radicalisation potential
  3. Threat risks for soft targets
  4. Cybercrime trends at different timescales

PREVISION will conduct demonstrations on five representative and complementary use cases, under real-life operational conditions, in full compliance with fundamental rights and applicable legislation.

PUBLICATIONS

  1. K. Gkountakos, D. Galanopoulos, D. Touska, K. Ioannidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "ITI-CERTH participation in ActEV and AVS Tracks of TRECVID 2021" in Proc. TRECVID 2021 Workshop, Gaithersburg, MD, USA (Virtual), 2021. OPEN ACCESS
  2. Κ. Gkountakos, D. Touska, K. Ioannidis, T. Tsikrika, S. Vrochidis, & I. Kompatsiaris. "Spatio-temporal activity detection and recognition in untrimmed surveillance videos". In Proceedings of the 2021 International Conference on Multimedia Retrieval, August 2021. OPEN ACCESS
  3. A. Kosmatopoulos, K. Loumponias, D. Chatzakou, T. Tsikrika, S. Vrochidis, I. Kompatsiaris, "Random-Walk Graph Embeddings and the Influence of Edge Weighting Strategies in Community Detection Tasks". In Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS ’21), August 30, 2021, Virtual Event, Ireland. ACM, New York, NY, USA. OPEN ACCESS
  4. K. Gkountakos, K. Ioannidis, T.Tsikrika, S. Vrochidis, & Ι. Kompatsiaris, "Crowd Violence Detection from Video Footage". In 2021 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE June 2021. OPEN ACCESS
  5. K. Gkountakos, D. Galanopoulos, M. Mpakratsas, D. Touska, A. Moumtzidou, K. Ioannidis, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, "ITI-CERTH participation in TRECVID 2020", Proc. TRECVID 2020 Workshop, Gaithersburg, MD, USA, Dec. 2020. OPEN ACCESS
  6. D. Chatzakou, J. Soler-Company, T. Tsikrika, L. Wanner, S. Vrochidis, I. Kompatsiaris, "User Identity Linkage in Social Media Using Linguistic and Social Interaction Features", In Proceedings of the 2020 ACM on Web Science Conference, (WEBSCI 2020), July 6-10 2020. OPEN ACCESS