SURVANT

SURveillance Video Archives iNvestigation assisTant
Project ID
Funding Organization:
Funding Programme:
Funding Instrument:
Innovation action
Start Date:
01/01/2017
Duration:
24 months
Total Budget:
2,578,960 EUR
ITI Budget:
469,625 EUR
Scientific Responsible:

SURVANT will deliver an innovative system that will collect the relevant videos from heterogeneous repositories, extract inter/intra-camera video analytics, enrich the analytics using reasoning and inference technologies, and offer a unified search interface to the user. An intuitive interface with a relaxed learning curve will assist the user create accurate search queries and receive the results using advanced visualization tools. Ethical management of personal data collected from surveillance videos is integrated in the system design. SURVANT aims to develop a product that will introduce solutions beyond the industry state-of-the-art to face the challenges identified in the markets targeted, namely:

Scalability: SURVANT will address system scalability issues that emerge from the explosion in the amount of available video content.

Video analysis: SURVANT will perform video analysis employing Deep Learning (DL) techniques.

Event Enrichment and Reasoning: SURVANT will deliver an inference framework able to combine low-level information and semantic annotations to enable automated reasoning mechanisms.

Video and Image indexing: SURVANT will deal with large scale image/video retrieval application by efficiently indexing the content extracted from large image/video repositories.

Intelligent GIS-based user interface: A GIS-based user interface will be developed and demonstrated, allowing the user to execute targeted queries, in terms of location and time, and visualize the returned results in analytical or summarized forms.

Legal and ethical issues: SURVANT will deliver an intelligent and extensible framework for automated video analysis and analytics respectful of human rights according to European legal framework for privacy and data protection.

Key functionalities have been identified that will provide high added value for potential customers compared to the competition are:

Situational awareness framework.

Advanced content-based search.

Search expansion tools.

Consortium

ENGINEERING – Ingegneria Informatica S.p.A. (IT)
Centre for Research and Technology Hellas (EL)
Innovation Engineering SRL (IT)
United Technologies Research Centre Ireland Ltd. (IE)
Ayuntamiento de Madrid (ES)

Contact

Dr. Petros Daras
(Scientific Responsible)
Building B - Office 0.19 Α 2.10

Information Technologies Institute
Centre of Research & Technology - Hellas
1st km Thermis - Panoramatos, 57001, Thermi - Thessaloniki
Tel.: +30 2310 464160 (ext. 156) +30 2311 257755
Fax: +30 2310 464164
Email: daras@iti.gr

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