SURVANT: An Innovative Semantics-Based Surveillance Video Archives Investigation Assistant

Daniele Toti, Giuseppe Vella, Anastasios Dimou, David Gutierrez-Perez, Tommaso Nicoletti, Ernesto La Mattina, Francesco Grassi, Andrea Ciapetti, Michael Mcelligott, Nauman Shahid, Petros Daras

Research output: Chapter in Book/Report/Conference proceedingConference contribution


SURVANT is an innovative video archive investigation system that aims to drastically reduce the time required to examine large amounts of video content. It can collect the videos relevant to a specific case from heterogeneous repositories in a seamless manner. SURVANT employs Deep Learning technologies to extract inter/intra-camera video analytics, including object recognition, inter/intra-camera tracking, and activity detection. The identified entities are semantically indexed enabling search and retrieval of visual characteristics. Semantic reasoning and inference mechanisms based on visual concepts and spatio-temporal metadata allows users to identify hidden correlations and discard outliers. SURVANT offers the user a unified GIS-based search interface to unearth the required information using natural language query expressions and a plethora of filtering options. An intuitive interface with a relaxed learning curve assists the user to create specific queries and receive accurate results using advanced visual analytics tools. GDPR compliant management of personal data collected from surveillance videos is integrated in the system design.
Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number of pages16
Publication statusPublished - 2021
Event25th International Conference on Pattern Recognition Workshops, ICPR 2020 - Virtuale
Duration: 10 Jan 202111 Jan 2021

Publication series



Conference25th International Conference on Pattern Recognition Workshops, ICPR 2020


  • Complex Query Formulator
  • Deep Learning
  • Inter/intra camera analytics
  • Spatio-temporal semantic reasoning
  • Trajectory mining


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