Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic
Authors: 
Franck Jeveme Panta, Mahmoud Qodseya, Geoffrey Roman-Jimenez, André Péninou, 
Florence SèdesAuthors Info & Claims
Pages 7 - 14
Abstract
The use of mobile devices and the development of geo-positioning technologies make applications that use location-based services very attractive and useful. These applications are composed of sensors that generate various and heterogeneous spatio-temporal data. Exploiting this spatio-temporal data to support video surveillance systems remains a relevant purpose for video content filtering. Since the data processed in such a context are heterogeneous (indoor and outdoor environment, various position types and reference systems, various data format), interoperability and management of these data remains a problem to be solved.
In this paper, we propose a new generic trajectory based query in order to handle trajectory segment's heterogeneity. for both environments (indoor and outdoor).The proposed data model integrate multi-source metadata and enable to handle interoperability issue of data. Our querying mechanism enable to automatically retrieve video segments that could contain relevant information for the CCTV operator (suspects, trajectories, etc.). To ensure industrial transferability, we have implemented the metadata dictionary of the Standard ISO 22311/IEC 79 (interoperability of CCTV systems).
We provide an experimental evaluation demonstrating the utility of our approach in a real-world case. Results show that the proposed approach enhances the efficiency of investigators by reducing the search space, as the operator will analyze only the relevant data, therefore he needs less time for video processing (video reviewing).
References
[1]
Imad Afyouni, Cyril Ray, and Claramunt Christophe. 2012. Spatial models for context-aware indoor navigation systems: A survey. Journal of Spatial Information Science 1, 4 (May 2012), 85--123.
[2]
Haidar AL-Khalidi, David Taniar, and Maytham Safar. 2013. Approximate algorithms for static and continuous range queries in mobile navigation. Computing 95, 10 (01 Oct 2013), 949--976.
[3]
Abdulrahman Alarifi, AbdulMalik S. Al-Salman, Mansour Alsaleh, Ahmad Alnafessah, Suheer Alhadhrami, Mai A. Al-Ammar, and Hend Suliman Al-Khalifa. 2016. Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances †. In Sensors.
[4]
Khaled Amriki and Pradeep K. Atrey. 2012. Bus surveillance: how many and where cameras should be placed. Multimedia Tools and Applications 71 (2012), 1051--1085.
[5]
Dana Codreanu, André Péninou, and Florence Sèdes. 2015. Video Spatio-Temporal Filtering Based on Cameras and Target Objects Trajectories -- Videosurveillance Forensic Framework. 2015 10th International Conference on Availability, Reliability and Security (2015), 611--617.
[6]
Hillol Debnath and Cristian Borcea. 2013. TagPix: Automatic Real-Time Landscape Photo Tagging for Smartphones. 2013 International Conference on MOBILe Wireless MiddleWARE, Operating Systems, and Applications (2013), 176--184.
[7]
Abdeltawab M. Hendawi and Mohamed F. Mokbel. 2012. Predictive spatiotemporal queries: a comprehensive survey and future directions. In MobiGIS.
[8]
Sébastien Laborie, Ana-Maria Manzat, and Florence Sèdes. 2009. Managing and Querying Distributed Multimedia Metadata. IEEE MultiMedia 16 (2009), 12--21.
[9]
K. C. K. Lee, W. C. Lee, and H. V. Leong. 2010. Nearest Surrounder Queries. IEEE Transactions on Knowledge and Data Engineering 22, 10 (Oct 2010), 1444--1458.
[10]
Jongtae Lim, Kyoungsoo Bok, and Jaesoo Yoo. 2016. Processing a Continuous Range Query in Mobile P2P Network Environments. In Proceedings of the Sixth International Conference on Emerging Databases: Technologies, Applications, and Theory (EDB '16). ACM, New York, NY, USA, 102--105.
[11]
Xiaotao Liu, Mark D. Corner, and Prashant J. Shenoy. 2005. SEVA: sensor-enhanced video annotation. TOMCCAP 5 (2005), 24:1--24:26.
[12]
Dimitrios Lymberopoulos, Jie Liu, Xue Yang, Romit Roy Choudhury, Vlado Handziski, and Souvik Sen. 2015. A realistic evaluation and comparison of indoor location technologies: experiences and lessons learned. In IPSN.
[13]
Thomas Pajor. 2009. Multi-modal route planning. Master's thesis. Karlsruhe Institute of Technology, Germany.
[14]
Zhijie Shen, Sakire Arslan Ay, Seon Ho Kim, and Roger Zimmermann. 2011. Automatic tag generation and ranking for sensor-rich outdoor videos. In ACM Multimedia.
[15]
Rainer Simon and Peter Fröhlich. 2007. A mobile application framework for the geospatial web. In WWW.
[16]
Guoqing Xiao, Kenli Li, Keqin Li, and Xu Zhou. 2015. Efficient top-(k, l) range query processing for uncertain data based on multicore architectures. Distributed and Parallel Databases 33, 3 (2015), 381--413.
[17]
Wenjie Yuan and Markus Schneider. 2010. Supporting Continuous Range Queries in Indoor Space. 2010 Eleventh International Conference on Mobile Data Management (2010), 209--214.
[18]
Lei Zhao, Peiquan Jin, Lanlan Zhang, Huaishuai Wang, and Sheng Lin. 2011. Developing an Oracle-Based Spatio-Temporal Information Management System. In DASFAA Workshops.
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- Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic
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Published: 06 November 2018
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SIGSPATIAL '18: 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
November 6, 2018
WA, Seattle, USA
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