PATENTS / Publications
PATENTS
[08] R. Benmokhtar, M. Leeman, F. Laisney, M. Penet. WO18069061A1 : Method of formulating a piloting supervision setpoint for a driving member of an automotive vehicle.
[07] R. Benmokhtar, L. Fradin, F. Laisney, B. Wedajo. WO18060380A1 : Detection of obstacles by merging objects for motor vehicle
[06] R. Benmokhtar, B. Abdullah. WO18141717A1 : Method for identifyng and monitoring areas of interest in images successively acquired by an optical sensor of a motor vehicle.
[05] R. Benmokhtar, A. Breheret. WO18078172A1 : Detection of obstacles around an automotive vehicle
[04] R. Benmokhtar, A. Ben-hamadou. FR3062224A : Détection d'obstacles dans l'environnement d'un véhicule automobile par traitement d'images.
[03] R. Benmokhtar, H. Lamdouar, S. Durand. FR3062836A : Procédé et système de détermination d'un indice de confiance associé à un objet d’un environnement d’un véhicule.
[02] R. Benmokhtar, T. Liennard. FR3062835A : Procédé et système de détermination d'un indice de confiance associé à une caractéristique d'une voie de circulation.
[01] R. Benmokhtar, T. Liennard. FR3061885A : Procédé de détermination d'une caractéristique d'un environnement d'un véhicule par fusion de données
INTERNATIONAL CONFERENCES
[20] S. Moujtahid, T. Liennard, R. Benmokhtar, Evidential Multisensor Fusion and Erroneous Management of Lanes for Autonomous Driving. Proceedings of IEEE International Sensors Applications Symposium (SAS), 2019.
[19] S. Durand, R. Benmokhtar, X. Perrotton. 360° Multisensor Object Fusion and Sensor-based Erroneous Data Management for Autonomous Vehicles. Proceedings of IEEE International Sensors Applications (SAS) Symposium, 2019.
[18] R. Benmokhtar, J. Delhumeau, P-H. Gosselin. Efficient supervised dimensionality reduction for image categorization. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013.
[17] M. Jain, R. Benmokhtar, P. Gros, H. Jégou. Hamming embedding similarity-based image classification. Proceedings of ACM International Conference on Multimedia Retrieval (ICMR), 2012.
[16] R. Benmokhtar, I. Laptev. INRIA-Willow at TRECVid 2010: Surveillance event detection. Proceedings of TRECVid, 2010.
[15] R. Benmokhtar, B. Huet. Hierarchical ontology-based robust video shots indexing using global MPEG-7 visual descriptors. Proceedings of IEEE International Workshop on Content-Based Multimedia Indexing (CBMI), 2009.
[14] R. Benmokhtar, B. Huet. Ontological reranking approach for hybrid concept similarity-based video shots indexing. Proceedings of IEEE International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), 2009.
[13] M. Paleari, R. Benmokhtar, B. Huet. Evidence theory-based multimodal emotion recognition. Proceedings of ACM International Conference on Multimedia Modelling (MMM), pages 435-446, 2009.
[12]T. Athanasiadis, N. Simou, G. Papadopoulos, R. Benmokhtar, K. Chandramouli, V. Tzouvaras, V. Mezaris, M. Phiniketos, Y. Avrithis, I. Kompatsiaris, B. Huet, E. Izquierdo. Integrating image segmentation and classification for fuzzy knowledge-based multimedia indexing. Proceedings of ACM International Conference on Multimedia Modelling (MMM), pages 263-274, 2009.
[11] T. Athanasiadis, N. Simou, G. Papadopoulos, R. Benmokhtar, K. Chandramouli, V. Tzouvaras, V. Mezaris, M. Phiniketos, Y. Avrithis, I. Kompatsiaris, B. Huet, E. Izquierdo. Combining segmentation and classification techniques for fuzzy knowledge-based semantic image annotation. Proceedings of International Conference on Semantic and Digital Media Technologies (SAMT), 2008.
[10] R. Benmokhtar, B. Huet. K-Space at TRECVid 2008. Proceedings of TRECVid, 2008.
[09] R. Benmokhtar, B. Huet. Perplexity-based evidential neural network classier fusion using MPEG-7 low-level visual features. Proceedings of ACM International Conference on Multimedia Information Retrieval (MIR), pages 160-169, 2008.
[08] R. Benmokhtar, B. Huet, S-A. Berrani. Low-level feature fusion models for soccer scenes classification. Proceedings of IEEE International Conference on Multimedia & Expo (ICME), pages 1329-1332, 2008.
[07] R. Benmokhtar, E. Galmar, B. Huet. Eurécom at TRECVid 2007: High level features extraction. Proceedings of TRECVid, 2007.
[06] R. Benmokhtar, B. Huet, S-A. Berrani, P. Lechat. Video shots key-frames indexing and retrieval through pattern analysis and fusion techniques. Proceedings of IEEE International Conference on Information Fusion (FUSION), pages 1-6, 2007.
[05] R. Benmokhtar, B. Huet. Multi-level fusion for semantic indexing video content, Proceedings of International Workshop on Adaptive Multimedia Retrieval (AMR), pages 160-169, 2007.
[04] R. Benmokhtar, B. Huet. Neural network classifier fusion based on Dempster-Shafer theory for semantic indexing in video content. Proceedings of ACM International Conference on Multimedia Modelling (MMM), pages 196-205, 2007.
[03] R. Benmokhtar, E. Dumont, B. Huet, B. Merialdo. Eurécom at TRECVid 2006: Extraction of high level features and BBC rushes exploitation. Proceedings of TRECVid, 2006.
[02] R. Benmokhtar, B. Huet. Neural network combining classifier based on Dempster-Shafer. Proceedings of International Multiconference on Computer Science and Information Technology (IMCSIT), pages 3-10, 2006.
[01] R. Benmokhtar, B. Huet. Classifier fusion: Combination methods for semantic indexing in video content. Proceedings of International Conference on Artificial Neural Network (ICANN), pages 65-74, 2006.
JOURNALS
[02] R. Benmokhtar, B. Huet. Robust human action recognition scheme based on high-level feature fusion. Multimedia Tools and Applications (MTAP), Springer Editor, 2012.
[01] R. Benmokhtar, B. Huet. An Ontology-based evidential framework for video indexing using high-level multimodal fusion, Multimedia Tools and Applications (MTAP), Springer Editor, 2011.
BOOK CHAPTERS
[02] R. Benmokhtar, B. Huet, G. Richard, S. Essid. Feature extraction for multimedia analysis, Chapter 4 in "Multimedia Semantics: Metadata, Analysis and Interaction", ISBN: 978-0-470-74700-1, pages 35-58, Wiley, 2011.
[01] S. Essid, M. Campdel, R. Benmokhtar, G. Richard, B. Huet. Machine learning techniques for multimedia analysis, Chapter 5 in "Multimedia Semantics: Metadata, Analysis and Interaction", ISBN: 978-0-470-74700-1, pages 59-80, Wiley, 2011.
PhD. THESIS & Master / Engineering
[03] R. Benmokhtar, Multi-level fusion for content-based semantic multimedia indexing and retrieval, Eurécom/ Orange FT-Labs. Mémoire de thèse doctorat TELECOM ParisTech, 2009.
[02] R. Benmokhtar, Segmentation par contour actif du type GVF: Application à la segmentation des artères carotides en IRM. Laboratoire Heudiasyc de l’université UTC de Compiègne. Mémoire de master, 2005.
[01] R. Benmokhtar, Processus de déroulement de phase en interférométrie radar. Laboratoire LTIR de l’université USTHB d’Alger. Mémoire de projet de fin d’étude, 2004.