Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic

Résumé

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).
Fichier principal
Vignette du fichier
jevemepanta_22741.pdf (722.31 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03621820 , version 1 (28-03-2022)

Identifiants

Citer

Franck Jeveme Panta, Mahmoud Qodseya, Geoffrey Roman Jimenez, André Péninou, Florence Sèdes. Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic. 9th ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness, in conjunction with ACM SIGSPATIAL Conference (ISA 2018), Nov 2018, Seattle, Washington, United States. pp.7-14, ⟨10.1145/3282461.3282465⟩. ⟨hal-03621820⟩
6 Consultations
1 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More