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Franck Jeveme Panta
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2020 – today
- 2020
- [b1]Franck Jeveme Panta:
Modélisation des métadonnées multi sources et hétérogènes pour le filtrage négatif et l'interrogation intelligente de grands volumes de données: application à la vidéosurveillance. (Multi-source and heterogeneous metadata modeling for negative filtering and intelligent querying of large volumes of data: application to video surveillance). Paul Sabatier University, Toulouse, France, 2020 - [c8]Franck Jeveme Panta, André Péninou
, Florence Sèdes
Negative filtering of CCTV Content - forensic video analysis framework. ARES 2020: 39:1-39:10
2010 – 2019
- 2019
- [c7]Mahmoud Qodseya, Franck Jeveme Panta, Florence Sèdes
Visual-Based Eye Contact Detection in Multi-Person Interactions. CBMI 2019: 1-6 - [c6]Franck Jeveme Panta, André Péninou
An Approach for CCTV Contents Filtering Based on Contextual Enrichment via Spatial and Temporal Metadata: Relevant Video Segments Recommended for CCTV Operators. MoMM 2019: 195-199 - 2018
- [c5]Franck Jeveme Panta, Mahmoud Qodseya, Geoffrey Roman-Jimenez, André Péninou
Spatio-Temporal Metadata Querying for CCTV Video Retrieval: Application in Forensic. ISA@SIGSPATIAL 2018: 7-14 - [c4]Franck Jeveme Panta, Mahmoud Qodseya, André Péninou
Management of Mobile Objects Location for Video Content Filtering. MoMM 2018: 44-52 - [c3]Franck Jeveme Panta, Geoffrey Roman-Jimenez, Florence Sèdes
Modeling metadata of CCTV systems and Indoor Location Sensors for automatic filtering of relevant video content. RCIS 2018: 1-9 - 2017
- [j1]Florence Sèdes
(Meta-)data modelling: gathering spatio-temporal data for indoor-outdoor queries. ACM SIGSPATIAL Special 9(1): 35-42 (2017) - 2016
- [c2]Franck Jeveme Panta, Florence Sèdes
Querying indoor spatio-temporal data by hybrid trajectories. ISA@SIGSPATIAL 2016: 11-18 - [c1]Franck Jeveme Panta, Florence Sèdes:
Mobile objects in indoor environment: Trajectories reconstruction. MoMM 2016: 332-336
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