SIIM : SIgnal-Image-Modeling

Keys Words

Modeling, ill-posed inverse problems (blind sources separation – unmixing – multidimensional deconvolution (MIMO systems)), dimension reduction, estimation, (heterogeneous) data fusion, supervised/unsupervised learning, classification, survey/decision, (Convolutive) Neural Networks, Deep Learning, matrix and tensor decompositions, stochastic and deterministic optimization, non-stationary processes (time-frequency (spatial) distributions, adaptive algorithms), linear and multilinear algebra, low rank approximation, approximation theory, nonlinear and chaotic dynamical system theory.





Permanent Members

BOUCHARA FrédéricMaitre de Conférences
Courriel :
Telephone : 0494142210
BOUCHOUICHA MoezMaitre de Conférences
Courriel :
GINOUX Jean-MarcMaitre de Conférences
Courriel :
Telephone : 494142488
LUCIANI XavierMaitre de Conférences
Courriel :
Telephone : 0494142503
MAIRE SylvainMaitre de Conférences
Courriel :
MINGHELLI-ROMAN AudreyMaitre de Conférences
Courriel :
Telephone : 0494142229
MOREAU ÉricProfesseur des Universités
Courriel :
Telephone : 0494142586
NGUYEN ThanhMaitre de Conférences
Courriel :
PRISSETTE CyrilMaitre de Conférences
Courriel :
THIRION-MOREAU NadègeProfesseur des Universités
Courriel :
Telephone : 0494142456


Phd Studients

ANDRE RémiDoctorant
Courriel :
CHAMBARET GuillaumeDoctorant
Courriel :
EL QUATE KarimaDoctorant
Courriel :
FRIZZI SebastienDoctorant
Courriel :
HAMDI TakouaDoctorant
Courriel :
KAABI RabebDoctorant
Courriel :
LAMOURET MarieDoctorant
Courriel :
MARIE VincentDoctorant
Courriel :
NGUYEN ThanhDoctorant
Courriel :
SANCHEZ GuillaumeDoctorant
Courriel :
SANOU Isaac WilfriedDoctorant
Courriel :
SOUQUIERES LauraDoctorant
Courriel :


Other staff members

BECHAR IkhlefPost-Doctorant
Courriel :
Telephone : 0494142076
ENEL LaurentCherch. associe
Courriel :
GUIS VincenteIR
Courriel :


Research interests

The Project Team « SIgnal-Image-Modeling’’ (SIIM) is part of the Signal & Image pole of the LIS laboratory. This team is hosted in the SeaTech engineering school of the University of Toulon (La Garde site).

The researches of the members of the SIIM team are gearing towards data sciences & analysis, and concern more precisely: signal and image processing, computer vision, machine learning and optimization.

They range from the observation or the physical study of the data for modeling or characterization purposes or their processing and analysis. The main aims are to retrieve meaningful information or latent variables, to help the end-users with the interpretation of the results or to develop automatic decision or diagnostic assistance systems. This involves the development of innovative theoretical approaches and the effective implementation of these methods through numerical computation and high performance algorithms. These (dedicated) solutions also have to be able to take into account the specificities and constraints linked to the considered application. Depending on it, we can handle different kind of datasets: multidimensional or multimodal signals, multi- or hyper- spectral images, 3D or 4D fluorescence spectroscopy imaging, video sequences, etc.


Main Lines

Signal Processing – Image processing – Computer Vision – Machine learning


Main Fields of application

Environmental data observation or monitoring, environmental data analysis/mining, marine surveillance, written document analysis, biomedical engineering, diagnostic assistance


Local ecosystem and valorization

MEDD and INPS poles of the Toulon University, IRSN, IFREMER, CNES, Mediterranean Sea Cluster (pôle MER méditerranée), Booster Space4Earth/SafeCluster, French customs, Airbus Defense and Space, CS Technologies, Thales Alenia Space, Naval Group, Sofresud, Hexaglobe, Seaviews, TVT Innovation


Scientific publications

21 documents

Article dans une revue

  • Omar Cherrak, Hicham Ghennioui, Nadège Thirion-Moreau, El Hossein Abarkan. Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach. International Journal of Electrical & Computer Engineering (2088-8708) , 2019, 9 (3), pp.1732-1741. ⟨⟩. ⟨10.11591/ijece.v9i3.pp1732-1741⟩. ⟨hal-02057520⟩
  • Xuan Son Nguyen, Abdel-Illah Mouaddib, Thanh Phuong Nguyen. Hierarchical Gaussian descriptor based on local pooling for action recognition. Machine Vision and Applications, Springer Verlag, 2019. ⟨hal-01978538⟩
  • Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frederic Bouchara. Completed statistical adaptive patterns on three orthogonal planes for recognition of dynamic textures and scenes. Journal of Electronic Imaging, SPIE and IS&T, 2018, 27 (05), pp.1. ⟨hal-01978443⟩
  • Mohamed Anouar Borgi, Thanh Phuong Nguyen, Demetrio Labate, Chokri Ben Amar. Statistical binary patterns and post-competitive representation for pattern recognition. International journal of machine learning and cybernetics, 2018, 9 (6), pp.1023 - 1038. ⟨10.1007/s13042-016-0625-9⟩. ⟨hal-01858125⟩
  • Thanh Phuong Nguyen, Xuan Son Nguyen. Shape measurement using LIP-signature. Computer Vision and Image Understanding, Elsevier, In press, ⟨10.1016/j.cviu.2018.05.003⟩. ⟨hal-01858124⟩
  • Laurent Jeanpierre, Xuan Son Nguyen, Abdel-Illah Mouaddib, Thanh Phuong Nguyen. Action recognition in depth videos using hierarchical gaussian descriptor. Multimedia Tools and Applications, Springer Verlag, 2018, ⟨10.1007/s11042-017-5593-x⟩. ⟨hal-01713003⟩
  • Omar Cherrak, Hicham Ghennioui, Nadège Thirion-Moreau, El Houssein Abarkan. Preconditioned optimization algorithms solving the problem of the non unitary joint block diagonalization: application to blind separation of convolutive mixtures. Multidimensional Systems and Signal Processing, Springer Verlag, 2017. ⟨hal-01785915⟩
  • Xuan Vu, Caroline Chaux, Nadège Thirion-Moreau, Sylvain Maire, Elfrida Carstea. A new penalized nonnegative third order tensor decomposition using a block coordinate proximal gradient approach: application to 3D fluorescence spectroscopy. Journal of Chemometrics, Wiley, 2017, 31 (4), pp.e2859. ⟨10.1002/cem.2859⟩. ⟨hal-01387439⟩
  • Jean-Philip Royer, Nadège Thirion-Moreau, Pierre Comon, Roland Redon, Stéphane Mounier. A regularized nonnegative canonical polyadic decomposition algorithm with preprocessing for 3D fluorescence spectroscopy. Journal of Chemometrics, Wiley, 2015, 29 (4), pp.253-265. ⟨⟩. ⟨10.1002/cem.2709⟩. ⟨hal-01126693⟩
  • Jean-Philip Royer, Nadège Thirion-Moreau, Pierre Comon. Computing the polyadic decomposition of nonnegative third order tensors. Signal Processing, Elsevier, 2011, 91 (9), pp.2159-2171. ⟨10.1016/j.sigpro.2011.03.006⟩. ⟨hal-00618729⟩

Communication dans un congrès

  • Thanh Phuong Nguyen. PROJECTION BASED APPROACH FOR REFLECTION SYMMETRY DETECTION. ICIP, Sep 2019, Taipei, Taiwan. ⟨hal-02133544⟩
  • Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara. SMOOTH-INVARIANT GAUSSIAN FEATURES FOR DYNAMIC TEXTURE RECOGNITION. ICIP, Sep 2019, Taipei, Taiwan. ⟨hal-02133547⟩
  • Thanh Tuan Nguyen, Thanh Phuong Nguyen, Frédéric Bouchara, Ngoc-Son Vu. Volumes of Blurred-Invariant Gaussians for Dynamic Texture Classification. Computer Analysis of Images and Patterns (CAIP), Sep 2019, Salerno, Italy. ⟨hal-02160704⟩
  • Marie Lamouret, Arnaud Abadie, Christophe Viala, Pierre Boissery, Nadège Thirion-Moreau. Measuring fish activities as additional environmental data during a hydrographic survey with a multi-beam echo sounder. OCEANS 2019, Jun 2019, Marseille, France. ⟨hal-02169379⟩
  • Thanh Tuan Nguyen, Thanh Nguyen, Frédéric Bouchara, Xuan Son Nguyen. Directional Beams of Dense Trajectories for Dynamic Texture Recognition. ACIVS, Sep 2018, Poitier, France. ⟨hal-01860067⟩
  • K. El Qate, M. El Rhabi, A. Hakim, E. Moreau, Nadège Thirion-Moreau. A regularized nonnegative third order tensor decomposition using a Primal-Dual Projected Gradient Algorithm: application to 3D fluorescence spectroscopy. International Conference on Smart Multimedia, Aug 2018, Toulon, France. ⟨10.1007/978-3-030-04375-9_16⟩. ⟨hal-01858112⟩
  • Xuan Vu, Caroline Chaux, Nadège Thirion-Moreau, Sylvain Maire. A Proximal Approach for Nonnegative Tensor Decomposition. 13th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA 2017), Feb 2017, Grenoble, France. ⟨hal-01485331⟩
  • Xuan Thanh Vu †, Caroline Chaux, Sylvain Maire, Nadège Thirion-Moreau. Study Of Different Strategies For The Canonical Polyadic Decomposition Of Nonnegative Third Order Tensors With Application To The Separation Of Spectra In 3D Fluorescence Spectroscopy. 2014 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2014), Sep 2014, Reims, France. ⟨hal-01278483⟩
  • Ivica Kopriva, Jean-Philip Royer, Nadège Thirion-Moreau, Pierre Comon. Error Analysis of Low-rank Three-Way Tensor Factorization Approach to Blind Source Separation. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), May 2014, Florence, Italy. pp.3210-3214. ⟨hal-00990255⟩
  • Jean-Philip Royer, Nadège Thirion-Moreau, Pierre Comon. NonNegative 3-Way tensor Factorzation taking into account Possible Missing Data. 20th European Signal Processing Conference (EUSIPCO-2012), Aug 2012, Bucarest, Romania. pp.1-5. ⟨hal-00725289⟩

Direction d'ouvrage, Proceedings

  • Petr Tichavsky, Massoud Babaie-Zadeh, Olivier Michel, Nadège Thirion-Moreau. Latent Variable Analysis and Signal Separation - 13th International Conference, LVA/ICA 2017, Grenoble, France, February 21-23, 2017, Proceedings - Lecture Notes in Computer Sciences 10169. France. 2017. ⟨hal-01785901⟩