PÉTERI Renaud

Maître de conférence, HDR - Département Informatique

Publié le – Mis à jour le

Publications

  • Three-Stream 3D/1D CNN for Fine-Grained Action Classification and Segmentation in Table TennisPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier.
    4th International ACM Workshop on Multimedia Content Analysis in Sports, ACM Multimedia, Oct 2021, Chengdu, China. PDF
  • Table Tennis ball kinematic parameters estimation from ecological single-view videosJordan Calandre, Renaud Péteri, Laurent Mascarilla, Benois Tremblais.
    Proceedings of the International Conference on Content-Based Multimedia Indexing (CBMI 2021), June 28-30, 2021, Lille, France, IEEE Computer Society. PDF
  • 3D Convolutional Networks for Action Recognition: Application to Sport Gesture RecognitionPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Akka Zemmari, Julien Morlier
    Chapter 9 in Multi-faceted Deep Learning: Models and Data, Springer, 2021. PDF
  • The 2021 ImageCLEF BenchmarkMultimedia Retrieval in Medical, Nature, Internet and Social Media ApplicationsBogdan Ionescu, Henning Müller, Renaud Péteri et al.
    Proceedings of the 43rd European Conference on Information Retrieval (ECIR 2021), March 28 – April 1, 2021 PDF
  • Content-based multimedia indexing (CBMI 2018) [SI 1104]Renaud Péteri, Georges Quénot, Philippe Joly.
    Multimed Tools Appl (2021) PDF

  • Extraction and analysis of 3D kinematic parameters of Table Tennis ball from a single cameraJordan Calandre, Renaud Péteri, Laurent Mascarilla, Benois Tremblais
    Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 january 202 PDF
  • 3D attention mechanism for fine-grained classification of table tennis strokes using a Twin Spatio-Temporal Convolutional Neural NetworksPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier
    Proceedings of the 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, 10-15 january 2021 HAL
  • Fine grained sport action recognition with Twin spatio-temporal convolutional neural networksPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier
    Multimedia Tools and Applications, vol. 79, 20429–20447, Springer (2020) PDF
  • Extraction et analyse de trajectoires de balle de Tennis de Table à partir d’une seule caméra pour l’aide à la performance sportiveJordan Calandre, Renaud Péteri, Laurent Mascarilla, Benois Tremblais.
    Proceedings of RFIAP 2020, 23-26 Jun 2020, Vannes, France PDF
  • ImageCLEF 2020: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security ApplicationsBogdan Ionescu, Henning Müller, Renaud Péteri et al.
    Proceedings of the 42nd European Conference on Information Retrieval (ECIR), Lecture Notes in Computer Science (LNCS), 2020 PDF

  • Optimal Choice Of Motion Estimation Methods For Fine-Grained Action Classification With 3D Convolutional NetworksPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier
    IEEE ICIP 2019 (International Conference on Image Processing), September 22-25, 2019, Taipei, Taiwan. HAL
  • Fine-Grained Action Detection and Classification in Table Tennis with Siamese Spatio-Temporal Convolutional Neural NetworkPierre-Etienne Martin, Jenny Benois-Pineau, Renaud Péteri, Julien Morlier
    IEEE ICIP 2019 (International Conference on Image Processing), September 22-25, 2019, Taipei, Taiwan. HAL
  • Sports video annotation : Detection of strokes in table tennis task for MediaEval 2019Pierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Laurent Mascarilla, Jordan Calandre
    In Proc. of the MediaEval 2019 Workshop, 27-29 October 2019, Sophia Antipolis, France. 
  • Siamese Spatio-temporal convolutional neural network for stroke classification in Table Tennis gamesPierre-Etienne Martin, Jenny Benois-Pineau, Boris Mansencal, Renaud Péteri, Julien Morlier
    In Proc. of the MediaEval 2019 Workshop, 27-29 October 2019, Sophia Antipolis, France. HAL
  • Optical Flow Singularities for Sports Video Annotation: Detection of Strokes in Table TennisJordan Calandre, Renaud Péteri, Laurent Mascarilla
    In Proc. of the MediaEval 2019 Workshop, 27-29 October 2019, Sophia Antipolis, France. 
  • ImageCLEF 2019: Multimedia Retrieval in Lifelogging, Medical, Nature, and Security ApplicationsBogdan Ionescu, Henning Müller, Renaud Péteri
    Proceedings of the 41st European Conference on Information Retrieval, Lecture Notes in Computer Science (LNCS), vol 11438, April 14-18, 2019, Cologne, Germany. 

Recherche

Dynamic Textures

Our past works were focused on dynamic texture analysis and characterization. Many dynamic textures can be modeled as large scale propagating wavefronts and local oscillating phenomena. After introducing a formal model for dynamic textures, the morphological component analysis (MCA) approach with a well-chosen dictionary is used to retrieve the components of dynamic textures We define two new strategies for adaptive thresholding in the MCA framework, which greatly reduce the computation time when applied on videos. Our recent work were focused on dynamic texture analysis and characterization.

Many dynamic textures can be modeled as large scale propagating wavefronts and local oscillating phenomena. After introducing a formal model for dynamic textures, the morphological component analysis (MCA) approach with a well-chosen dictionary is used to retrieve the components of dynamic textures We define two new strategies for adaptive thresholding in the MCA framework, which greatly reduce the computation time when applied on videos.

Short bio

Education
  • Habilitation à Diriger des Recherches (2019). More infos: here
  • PhD in Signal and Image processing from MINES ParisTech (2003)
  • Engineering Degree in Physics and Image Processing from Telecom Physique Strasbourg (2000)
  • MSc in Photonics and Image from the University of Strasbourg, France (2000)
Professional appointments
  • Invited scholar at the University of California, San Diego (UCSD), Jan.-Aug. 2013.
  • Associate Professor, University of La Rochelle, MIA lab. (France), 2005 to present.
  • Postdoctoral ERCIM Research Fellow at the Center for Mathematics and Computer Science (CWI, Amsterdam, The Netherlands) and the Hungarian Academy of Sciences (SZTAKI, Budapest, Hungary), 2004-2005.
  • PhD student at MINES ParisTech - Sophia Antipolis (France), 2000-2003.
  • MSc research project at INRIA/IRISA Rennes (France), 2000.
Chair and organizer
  • General chair for the International Conference on Content Based Multimedia Indexing (CBMI 2018) in La Rochelle;
  • General co-chair for the International Conference on Content Based Multimedia Indexing (CBMI 2019) in Dublin;
  • Overall coordinator of the ImageCLEF - the cross-language image retrieval track in CLEF 2018-2019 and CLEF 2019-2020;
  • Co-organizer of the Sport Video Classification Task @ MediaEval Benchmarking Initiative for Multimedia Evaluation 2018-2019 and 2019-2020.
Conference Technical Program Committe
  • ACM International Conference on Multimedia - MM 2019 and 2020;
  • International Conference on Pattern Recognition ICPR 2015, 2016, 2018 and 2020;
  • International Confrence on Content-Based Multimedia Indexing - CBMI 2020;
  • ACM International Conference on Multimedia Retrieval - ICMR 2015;
  • IEEE International Symposium on Multimedia (IEEE ISM) 2015, 2017 and 2019.
Grants and fundings
  • CRISP: Computer Vision for Sport Performance (projet Région Nouvelle Aquitaine). PI: R. Péteri
  • TAbaSCO: Analyse de trajectoires sémantiques dans l’espace des paramètres des lois multinomiales : application à l’étude de la corrosion dans les métaux (projet exploratoire interdisciplinaire GDR ISIS). PI: R. Péteri
  • IMPORTEX Image, milieux poreux et textures (Défis interdisciplinaires 2013 CNRS : NEEDS Nucléaire, Énergie, Environnement, Déchets et Société). PI: M. Berthier
  • Grant ONR N00014-09-1-0493 : Multidimensional Image Processing and Pattern Recognition: A Theoretical Approach with Clifford Algebras and Lie Groups. PI: M. Berthier. 2009-2011.
  • MUSCLE NoE (European Network of Excellence). 2004 - 2008
Supervising activities:
Current Students
  • Zaineb CHIHA (PhD Univ. La Rochelle 2022-2025 co-supervised with Laurent Mascarilla, MIA Univ. La Rochelle)
Former students
  • Jordan Calandre (PhD Univ. La Rochelle 2018-2022 co-supervised with Laurent Mascarilla, MIA Univ. La Rochelle)
  • Pierre-Etienne Martin (PhD Univ. Bordeaux 2017-2020 co-supervised with J. Benois-Pineau, LABRI Univ. Bordeaux), now at Max Planck Institute, Leipzig
  • Cyrille Beaudry (PhD Univ. La Rochelle 2012-2015) with Laurent Mascarilla, now CEO EXPProd
  • Minh-Phuong Tran (PhD Univ. Orléans 2009-2012, with M. Bergounioux, now post-doc with Habib Ammari at ENS ULM, Paris)
  • Sloven Dubois (PhD Univ. La Rochelle 2007-2010, with M. Ménard, L3i Univ. La Rochelle, post-doc with Olivier Alata at Telecom Saint-Etienne)