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Video analysis for Investigation of Criminal and TerrORIst Activities

Livrables

VICTORIA Interface control document

Internal and external interfaces of VICTORIA: data objects, different type of interfaces calls, configuration files, etc. Description of how analytics modules can be added into VICTORIA

The VAFI community and marketplace

Platform hosting the VAFI community with marketplace functions as described in section 2.

Standardisation actions

Report about the standardisation actions carried out in the project the results.

VICTORIA analytics contests and conference

Report about the VICTORIA public dissemination events organised in the last project year.

Training process and evaluation performance

This document will provide the report on training activities organized for the preparation of the VICTORIA prototype V1 (M22) and V2 (M28) evaluations. These training activities will be performed in the two different workshops stated in T8.4. The training evaluation results of both workshops will be also described in this deliverable.

Training curricula development and scheduling

Using a skill-based structure, the document will produce training curricula adapted to the end-users' needs in order to meet their training requirements

Training methodologies and evaluation criteria definition

In this deliverable will be produced the VICTORIA training methodologies for going beyond the current end users training programs and cover the end users’ training needs and targets.

VICTORIA Dissemination plan

Document describing the strategy and operational plan to raise awareness about the VICTORIA project.

Training contents and tools selection

This document will describe the produced training contents for the LEA members including contents on legal procedures, privacy and ethical principles. In addition, the selection of the developed tools for performing the training will be also shown.

Recherche de données OpenAIRE...

Publications

Criminal Profiling and Non-Discrimination: On Firm Grounds for the Digital Era?

Auteurs: Laurens Naudts
Publié dans: Security and Law - Legal and Ethical Aspects of Public Security, Cyber Security and Critical Infrastructure Security, 2019, Page(s) 63-96
DOI: 10.1017/9781780688909.004

How Machine Learning Generates Unfair Inequalities and How Data Protection Instruments May Help in Mitigating Them

Auteurs: Laurens Naudts
Publié dans: Data Protection and Privacy: The Internet of Bodies, 2018, Page(s) 304

Generic Object Detection and Tracking for Accelerating Video Analysis within VICTORIA

Auteurs: David Schreiber, Martin Boyer, Peter Gemeiner, Andreas Opitz
Publié dans: 2019 International Conference on Speech Technology and Human-Computer Dialogue (SpeD), 2019, Page(s) 1-6
DOI: 10.1109/sped.2019.8906552

Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks

Auteurs: Alexander Schindler, Martin Boyer, Andrew Lindley, David Schreiber, Thomas Philipp
Publié dans: MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8–11, 2019, Proceedings, Part II, Issue 11296, 2019, Page(s) 106-119
DOI: 10.1007/978-3-030-05716-9_9

Multi-Task Music Representation Learning from Multi-Label Embeddings

Auteurs: Alexander Schindler, Peter Knees
Publié dans: 2019 International Conference on Content-Based Multimedia Indexing (CBMI), 2019, Page(s) 1-6
DOI: 10.1109/cbmi.2019.8877462

Multi-modal video forensic platform for investigating post-terrorist attack scenarios

Auteurs: Alexander Schindler, Andrew Lindley, Anahid Jalali, Martin Boyer, Sergiu Gordea, Ross King
Publié dans: Proceedings of the 11th ACM Multimedia Systems Conference, 2020, Page(s) 365-368
DOI: 10.1145/3339825.3393585

Audiovisual Annotation Procedure for Multi-view Field Recordings

Auteurs: Patrice Guyot, Thierry Malon, Geoffrey Roman-Jimenez, Sylvie Chambon, Vincent Charvillat, Alain Crouzil, André Péninou, Julien Pinquier, Florence Sèdes, Christine Sénac
Publié dans: MultiMedia Modeling - 25th International Conference, MMM 2019, Thessaloniki, Greece, January 8–11, 2019, Proceedings, Part I, Issue 11295, 2019, Page(s) 399-410
DOI: 10.1007/978-3-030-05710-7_33

Computer vision meets visual analytics: enabling 4D crime scene investigation from image and video data

Auteurs: T. Pollok, M. Kraus, Chengchao Qu, M. Miller, T. Moritz, T. Kilian, D. Keim, W. Jentner
Publié dans: 9th International Conference on Imaging for Crime Detection and Prevention (ICDP-2019), 2019, Page(s) 8 (44-49)
DOI: 10.1049/cp.2019.1166

Merge-SfM: Merging Partial Reconstructions

Auteurs: Fang, Meiling; Pollok, Thomas; Qu, Chengchao
Publié dans: Fraunhofer IOSB, Issue 6, 2019

Generic Object and Motion Analytics for Accelerating Video Analysis within VICTORIA

Auteurs: D. Schreiber, M. Boyer, E. Broneder, A. Opitz, S. Veigl
Publié dans: 2018 European Intelligence and Security Informatics Conference, Issue 24-25 October 2018, 2018, Page(s) Page 86
DOI: 10.1109/EISIC.2018.00024

Large Scale Audio-Visual Video Analytics Platform for Forensic Investigations of Terroristic Attacks

Auteurs: A. Schindler, M. Boyer, A. Lindley, D. Schreiber, T. Philpp
Publié dans: 2019 25th International Conference on MultiMedia Modeling, Issue -, 2019, Page(s) -

Visual Analytics for Semi-Automatic 4D Crime Scene Reconstruction

Auteurs: N. Weiler, M. Kraus, T. Kilian, W. Jentner and D. A. Keim
Publié dans: 4th International Symposium on Big Data Visual and Immersive Analytics, 2018

Towards Accountability: The Formalization and Articulation of Fairness in Machine Learning

Auteurs: Laurens Naudts
Publié dans: IFIP Summer School 2018, Issue 13th edition, 2018

The Articulation of Fair Machine Learning: Luck Equality and Group Differentiation

Auteurs: Laurens Naudts
Publié dans: Amsterdam Privacy Conference, Issue 3rd edition, 2018, Page(s) 1-9 pages

Fair or Unfair Algorithmic Differentiation? Luck Egalitarianism as a lens for evaluating algorithmic decision-making

Auteurs: Laurens Naudts
Publié dans: Data for Policy 2017, Issue 3rd edition, 2017, Page(s) 1-6

Breaking the Curse of Visual Data Exploration: Improving Analyses by Building Bridges between Data World and Real World

Auteurs: Matthias Kraus, Niklas Weiler, Thorsten Breitkreutz, Daniel Keim, Manuel Stein
Publié dans: Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2019, Page(s) 19-27
DOI: 10.5220/0007257400190027

Unsupervised cross-modal audio representation learning from unstructured multilingual text

Auteurs: Alexander Schindler, Sergiu Gordea, Peter Knees
Publié dans: Proceedings of the 35th Annual ACM Symposium on Applied Computing, 2020, Page(s) 706-713
DOI: 10.1145/3341105.3374114

A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers

Auteurs: Julio Suarez-Paez, Mayra Salcedo-Gonzalez, Alfonso Climente, Manuel Esteve, Jon Ander Gómez, Carlos Enrique Palau, Israel Pérez-Llopis
Publié dans: Information, Issue 10/12, 2019, Page(s) 365, ISSN 2078-2489
DOI: 10.3390/info10120365

Toward Mass Video Data Analysis: Interactive and Immersive 4D Scene Reconstruction

Auteurs: Matthias Kraus, Thomas Pollok, Matthias Miller, Timon Kilian, Tobias Moritz, Daniel Schweitzer, Jürgen Beyerer, Daniel Keim, Chengchao Qu, Wolfgang Jentner
Publié dans: Sensors, Issue 20/18, 2020, Page(s) 5426, ISSN 1424-8220
DOI: 10.3390/s20185426

Having yes, using no? About the new legal regime for biometric data

Auteurs: E.J. Kindt
Publié dans: Computer Law & Security Review, Issue 34/3, 2018, Page(s) 523-538, ISSN 0267-3649
DOI: 10.1016/j.clsr.2017.11.004