Dominique Béréziat's publications

Doctoral dissertations

[1] Dominique Béréziat. Contributions aux méthodes variationnelles pour le calcul du flot optique: prise en compte des informations spatiales et temporelles. Habilitation à diriger des recherches, Université Pierre et Marie Curie. École doctorale Édite de Paris, 2010. http://tel.archives-ouvertes.fr/tel-00545659/en/.
[2] Dominique Béréziat. Détection et suivi de structures déformables en mouvement : application à la météorologie. PhD thesis, Université Paris Sud, octobre 1999. [ .ps.gz ]

Articles in refereed journals and book chapters

[1] I. Béréziat, Herlin. Motion and acceleration from image assimilation with evolution models. Digital Signal Processing, 83:45--58, December 2018. https://doi.org/10.1016/j.dsp.2018.08.008.
[2] D. Béréziat and I. Herlin. Coupling dynamic equations and satellite images for modelling ocean surface circulation. In Computer Vision Imaging and Computer Graphics Theory and Application, volume 550 of Communication in Computer and Information Science, pages 191--205. Springer, 2015. [ DOI ]
[3] J. Fabrizio, S. Dubuisson, and D. Béréziat. Motion compensation based on tangent distance prediction for video compression. Signal Processing: Image Communication, 27(2):153--171, February 2012. [ DOI ]
[4] A. El Abed, S. Dubuisson, and D. Béréziat. Spatio-temporal target-measure association using an adaptive geometrical approach. Pattern Recognition Letters, 33(765--774), 2012. "http://www.sciencedirect.com/science/article/pii/S0167865511004089". [ DOI ]
[5] D. Béréziat and I. Herlin. Solving ill-posed image processing problems using data assimilation. Numerical Algorithms, 56(2):219--252, February 2011. https://hal.inria.fr/inria-00538510v1.
[6] A. El Abed, S. Dubuisson, and D. Béréziat. Communications in Computer and Information Science, volume 21, chapter Energy Association Filter for Online Data Association with Missing Data, pages 244--257. Springer, 2008.
[7] D. Béréziat and J.-P. Berroir. Motion estimation on meteorological infrared data using a total brightness invariance hypothesis. Environnement Modeling System, 15(15):513--519, June 2000.
[8] H. Yahia, J.-P. Berroir, I. Cohen, D. Béréziat, S. Bouzidi, and I. Herlin. Traitement d'images de séquences de données océanographiques. Océanis, Edition de l'Institut Océanographique, 2000.
[9] J.-P. Berroir and D. Béréziat. Cloud cover estimation for air quality models using meteorological sensors. System Analysis Modeling Simulation, (SAMS), 37(3):321--328, 2000. Special issue on air pollution modelling.
[10] I. Herlin, I. Cohen, and D. Béréziat. Wind estimation by image processing for air pollution modeling. System Analysis Modeling Simulation, (SAMS), 32:57--66, 1998.
[11] D. Béréziat, J.-P. Berroir, S. Bouzidi, and H. Herlin, I. ans Yahia. Land use and wind estimation as inputs for air pollution modelling. ERCIM NEWS, (34), 1998. Special Issue on Environmental Modelling.

Publications in Conferences and Workshops

[1] A. Zebiri, D. Béréziat, E. Huot, and Herlin. Rain nowcasting from multiscale radar images. In International Conference on Computer Vision Theory and Application (VISAPP), 2019. accepted to publication.
[2] D. Béréziat, I. Herlin, and Y. Lepoittevin. Ensemble kalman filter based on the image structures. In International Conference on Computer Vision Theory and Application (VISAPP), 2017. http://hal.upmc.fr/hal-01414786.
[3] Y. Lepoittevin, Herlin I., and D. Béréziat. An image-based ensemble kalman filter for motion estimation. In International Conference on Computer Vision Theory and Application (VISAPP), 2015. https://hal.inria.fr/hal-01095360.
[4] D. Béréziat and I. Herlin. Image-based modelling of ocean surface circulation from satellite acquisitions. In International Conference on Computer Vision Theory and Application (VISAPP), pages 1--8, January 2014. Best Paper Award, http://hal.inria.fr/hal-00908791.
[5] C. Avenel, P. Fortin, and D. Béréziat. Parallel birth and death process for cell nuclei extraction in histopathology images. In International Conference on Parallel Processing, pages 1--8, October 2013. http://hal.inria.fr/hal-00844001.
[6] Y. Lepoittevin, I. Herlin, and D. Béréziat. Object's tracking by advection of a distance map. In International Conference on Image Processing (ICIP), pages 1--5, September 2013. http://hal.inria.fr/hal-00866230.
[7] Y. Lepoittevin, D. Béréziat, I. Herlin, and N. Mercier. Continous tracking of structures from an image sequence. In International Conference on Computer Vision Theory and Application (VISAPP), pages 1--4, February 2013. http://hal.inria.fr/hal-00798176.
[8] Y. Lepoittevin, I. Herlin, and D. Béréziat. Assimilation de données pour estimer le mouvement et suivre un objet. In Orasis, pages 1--7, juin 2013. http://hal.inria.fr/hal-00826841.
[9] I. Herlin, D. Béréziat, N. Mercier, and S. Zhuk. Divergence-free motion estimation. In European Conference on Computer Vision (ECCV), pages 1--14, October 2012. http://hal.inria.fr/hal-00742021.
[10] D. Béréziat and I. Herlin. Non linear observation equation for motion estimation. In International Conference on Image Processing (ICIP), pages 1--4, September 2012. http://hal.inria.fr/hal-00761332.
[11] I. Herlin and D. Béréziat. Image assimilation and motion estimation of geophysical fluids. In 6th International Congress on Environmental Modelling and Software - iEMS 2012, pages 1--8, Leipzig, Germany, July 2012. http://hal.inria.fr/hal-00741977.
[12] I. Herlin, D. Béréziat, and N. Mercier. Improvement of motion estimation by assessing the errors on the evolution equation. In International Conference on Computer Vision Theory and Application (VISAPP), volume 2, pages 235--240, February 2012. http://hal.inria.fr/hal-00677662.
[13] I. Herlin, D. Béréziat, and K. Drifi. Learning reduced models for motion estimation on ocean satellite images. In Hydrodynamic modeling of the Back Sea Dynamics, pages 1--8, to appear, Sevastopol, Ukrain, September 2011. http://hal.inria.fr/hal-00646272.
[14] I. Herlin, D. Béréziat, and N. Mercier. Recovering missing data on satellite images. In Scandinavian Conference on Image Analysis, (SCIA), pages 697--707, May 2011. http://hal.inria.fr/inria-00612328.
[15] R. Teina, D. Béréziat, B. Stoll, and S. Chabrier. A comparative study of several supervised classifiers for coconut tree field's type mapping on 80 cm RGB pansharpened Ikonos images. In Image Processing: Machine Vision Applications II. Proceedings of SPIE, volume 7251, page 72510X (9 pages), San Jose (CA), January 2009. [ DOI ]
[16] D. Béréziat and I. Herlin. Solving ill-posed problems using data assimilation. Application to optical flow estimation. In International Conference on Computer Vision Theory and Application (VISAPP), volume 2, pages 594--602, Febuary 2009.
[17] R. Teina, D. Béréziat, and B. Stoll. A spatial poisson process to classify coconut fields on Ikonos pansharpened images. In Multispectral, Hyperspectral, and Ultraspectral Remote Sensing Technology, Techniques, and Applications II. Proceedings of SPIE, volume 7149, page 71491E (10 pages), Noumea (New Caledonia), November 2008. [ DOI ]
[18] R. Teina, D. Béréziat, B. Stoll, and S. Chabrier. Toward a global Tuamotu Archipelago trees sensing using high resolution optical data. In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), volume II, Boston (USA), July 2008.
[19] D. Béréziat and I. Herlin. Calcul du flot optique par assimilation variationnelle de données. In Reconnaissance des Formes et Intelligence Artificielle (RFIA), pages 341--350, Amiens (France), 23--25 janvier 2008.
[20] A. El Abed, S. Dubuisson, and D. Béréziat. Energetic particle filter for online multiple target tracking. In International Conference on Image Processing (ICIP), pages 493--496, San Antonio, (USA), September 2007.
[21] A. El Abed, S. Dubuisson, and D. Béréziat. ENMIM: Energetic normalized mutual information model for online multiple object tracking with unlearned motions. In Advanced Concepts for Intelligent Vision Systems (ACVIS), pages 955--967, Delft (the Netherlands), August 2007.
[22] W. Rekik, D. Béréziat, and S. Dubuisson. 3D+t reconstruction in the context of locally spheric shaped data observation. In International Conference on Computer Analysis of Images and Patterns (CAIP), pages 482--489, Vienna (Austria), August 2007.
[23] A. El Abed, S. Dubuisson, and D. Béréziat. Energy minimization approach for online data association with missing data. In International Conference on Computer Vision Theory and Application (VISAPP), pages 371--378, Barcelona (Spain), March 8-11 2007.
[24] A. El Abed, S. Dubuisson, and D. Béréziat. Association spatio-temporelle avec données manquantes par minimisation d'énergie. In colloque Groupe Recherche et d'Étude en Traitement du Signal et de l'Image (GRETSI), pages 65--68, Troyes (France), septembre 2007.
[25] R. Teina, D. Béréziat, and B. Stoll. Étude de la cocoteraie de Tikehau sur des images Ikonos. In MajecSTIC, pages 265--269, Caen (France), 2007.
[26] A. El Abed, S. Dubuisson, and D. Béréziat. Comparison of statistical and shape-based approaches for non-rigid motion tracking with missing data using a particle filter. In Advanced Concepts for Intelligent Vision Systems (ACVIS), pages 185--196, Antwerp (Belgium), September 2006.
[27] W. Rekik, D. Béréziat, and S. Dubuisson. Optical flow computation and visualization in spherical context. application on 3D+t bio-cellular sequences. In Engineering in Medicine and Biology Society (EMBS), pages 1645--1648, New-York (USA), September 2006. IEEE.
[28] W. Rekik, D. Béréziat, and S. Dubuisson. Image processing in spheric-shaped data using a geographical transformation. application to bio-cellular imaging. In International Symposium on Biomedical Imaging (ISBI), pages 1256--1259, Virginia (USA), April 2006. IEEE.
[29] W. Rekik, D. Béréziat, and S. Dubuisson. MAPVIS: A map-projection based tool for visualizing scalar and vectorial information lying on spheroidal surfaces. In International Conference on Information Visualisation, pages 636--641, London (UK), July 2005. IEEE.
[30] W. Rekik, D. Béréziat, S. Dubuisson, and N. Puff. Tracking of non-rigid structures evolving on 3D surfaces by compensating perspective view deformations. In IASTED International Conference on Signal and Image Processing, SIP 2004, Honolulu, (USA), August 23-25 2004.
[31] W. Rekik, D. Béréziat, and S. Dubuisson. Suivi de structures évoluant sur une surface tridimensionnelle. In Journée d'étude sur les méthodes pour les signaux complexes en traitement d'image, pages 159--165, Inria-Rocquencourt (France), 9-10 décembre 2003.
[32] J. Grazzini, D. Béréziat, and I. Herlin. Analysis of cloudy structures evolution on meteorological satellite acquisitions. In International Conference on Image Processing (ICIP), Thessaloniki (Greece), 7-10 october 2001.
[33] J. Grazzini, D. Béréziat, and I. Herlin. Analyse de l'évolution des structures nuageuses dans des séquences d'images satellitaires météorologiques. In ORASIS, Cahors (France), 5-8 juin 2001.
[34] D. Béréziat and I. Herlin. Object based optical flow estimation with an affine prior model. In International Conference on Pattern Recognition, volume 3, pages 1060--1063, Barcelona (Spain), September 2000.
[35] D. Béréziat, I. Herlin, and L. Younes. A generalized optical flow constraint and its physical interpretation. In Computer Vision and Pattern Recognition, pages 487--492, Hilton Head Island (USA), June 2000. IEEE.
[36] D. Béréziat, I. Herlin, and L. Younes. Motion estimation using a volume conservation hypothesis. In International Conference on Accoustic, Speech and Signal Processing (ICASSP), Phoenix (USA), March 1999.
[37] D. Béréziat and J.-P. Berroir. Use of image processing and remote sensing techniques to improve input data quality an collection. In International Conference on Air Pollution Modelling and Simulation (APMS), pages 563--572, Marne-La-Vallée (France), October 1998. Elsevier.
[38] E. Huot, I. Herlin, and D. Béréziat. Segmentation of temporal effects on phasimetric SAR images. In International Conference on Pattern Recognition, volume II, pages 1390--1392, Brisbane (Australia), August 1998.
[39] J.-P. Berroir and D. Béréziat. Cloud cover estimation for air quality models using meteorological sensors. In Third Issue on ERCIM Environmental Modelling Group Workshop, Madrid (Spain), April 1998.
[40] D. Béréziat, I. Herlin, and L. Younes. Motion detection in meteorological images sequences: Two methods and their comparison. In Proceedings of SPIE'97, volume 3217, pages 332--341, London (UK), September 1997. [ DOI ]
[41] D. Béréziat, I. Herlin, and L. Younes. Méthode de détection de mouvement appliquées aux images météorologiques. In colloque Groupe Recherche et d'Étude en Traitement du Signal et de l'Image (GRETSI), pages 909--912, Grenoble (France), septembre 1997. [ .html ]
[42] D. Béréziat, I. L. Herlin, G. Giraudon, C. Nguyen, and C. Graffigne. Segmentation of echocardiographic images with markov random fields. In European Conference on Computer Vision (ECCV), volume 2, pages 201--206, Stockholm (Sweeden), May 1994.

Research Reports

[1] I. Herlin, D. Béréziat, and N. Mercier. Strategies for processing images with 4D-Var data assimilation methods. Research Report 7495, Institut National de Recherche en Informatique et Automatique (INRIA), December 2010. http://hal.archives-ouvertes.fr/inria-00546222/en/.
[2] D. Béréziat and I. Herlin. Using model of dynamics for large displacement estimation on noisy acquisitions. Research Report 7408, Institut National de Recherche en Informatique et Automatique (INRIA), October 2010. http://hal.archives-ouvertes.fr/inria-00523625/en/.
[3] W. Rekik, D. Béréziat, and S. Dubuisson. Recovering 3D+t scenes for 3D and 2D+t data by motion compensation using a prior surface model. Technical report, Laboratoire d'Informatique de Paris 6 (LIP6), August 2010. http://www.lip6.fr/lip6/reports/2008/lip6-2008-001.pdf.
[4] D. Béréziat and I. Herlin. Solving ill-posed image processing problems using data assimilation. Research Report 6879, Institut National de Recherche en Informatique et Automatique (INRIA), March 2009. http://hal.inria.fr/inria-00368890/en/.
[5] D. Béréziat and I. Herlin. Solving ill-posed image processing problems using data assimilation. Application to optical flow. Research Report 6477, INRIA, March 2008. https://hal.inria.fr/inria-00264661.
[6] W. Rekik, D. Béréziat, and S. Dubuisson. Fusion de données spatiales (3D) et temporelles (2D+t) pour la reconstruction de scènes 3D+t : deux approches. Technical report, Laboratoire d'Informatique de Paris 6 (LIP6), juin 2008. [ .pdf ]
[7] D. Béréziat, I. L. Herlin, G. Giraudon, C. Nguyen, and C. Graffigne. Comparison of different markov field model for segmenting echocardiographic images. Technical Report 2424, INRIA, 1994.

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