Sabine Barrat version française english version

Publications

Revues internationales avec comité de lecture (7)

  1. F. Rayar, S. Barrat, F. Bouali and G. Venturini. A Viewable Indexing Structure for the Interactive Exploration of Dynamic and Large Image Collections. ACM Transactions on Knowledge Discovery from Data, 12(1):1--26, 2018.
  2. T.-A. Pham, S. Barrat, M. Delalandre and J.-Y. Ramel. An efficient tree structure for indexing feature vectors. Pattern Recognition Letters (PRL), 55(1):42--50, 2015.
  3. T.-A. Pham, S. Barrat, M. Delalandre and J.-Y. Ramel. The use of linked-node m-ary tree structure for feature vector indexing. Pattern Recognition Letters (PRL), pp9, 2014.
  4. T.-A. Pham, M. Delalandre, S. Barrat and J.-Y. Ramel. Accurate junction detection and characterization in line-drawing images. Pattern Recognition (PR), 47(1):282--295, 2014.
  5. S. Barrat and S. Tabbone. Modeling, classifying and annotating weakly annotated images using Bayesian network. Journal of Visual Communication and Image Representation (JVCI), 21(4):355--363, May 2010.
  6. S. Barrat and S. Tabbone. A Bayesian network for combining descriptors: application to symbol recognition. International Journal on Document Analysis and Recognition (IJDAR), 13(1):65--75, March 2010.
  7. S. Barrat and S. Tabbone. A progressive learning method for symbol recognition. Journal of Universal Computer Science, 14(2):224--236, January 2008.

Revues nationales avec comité de lecture (1)

  1. S. Barrat and S. Tabbone. Classification et extension automatique d'annotations d'images en utilisant un réseau Bayésien. Traitement du Signal (TS), 26(5), 2009.

Chapitres de livres (4)

  1. F. Rayar, S. Barrat, F. Bouali and G. Venturini. An Approximate Proximity Graph Incremental Construction for Large Image Collections Indexing. Floriana Esposito and Olivier Pivert and Mohand-Saïd Hacid and Zbigniew W. Ras and Stefano Ferilli, editor, Foundations of Intelligent Systems, volume 9384 of Lecture Notes in Computer Science, pages 59--68. Springer, 2015.
  2. A. Bouzaieni, S. Tabbone and S. Barrat. Automatic Images Annotation Extension Using a Probabilistic Graphical Model. George Azzopardi and Nicolai Petkov, editor, Computer Analysis of Images and Patterns, volume 9257 of Lecture Notes in Computer Science, pages 579--590. Springer Verlag, 2015.
  3. T.-A. Pham, S. Barrat, M. Delalandre and J.-Y. Ramel. An Efficient Indexing Scheme Based on Linked-Node m-Ary Tree Structure. Petrosino Alfredo, editor, Image Analysis and Processing, volume 8156 of Lecture Notes in Computer Science, pages 752--762. Springer Berlin Heidelberg, 2013.
  4. S. Barrat and S. Tabbone. Classification and automatic annotation extension of images using Bayesian network. Fabio Roli et al. Niels da Vitoria Lobo, Takis Kasparis, editor, Structural, Syntactic, and Statistical Pattern Recognition, volume 5342 of Lecture Notes in Computer Science, pages 937--946. Springer Verlag, 2008.

Conférences et workshops internationaux avec comité de lecture et actes (19)

  1. F. Rayar, S. Barrat, F. Bouali and G. Venturini. APoD eXplorer: Recommendation System and Interactive Exploration of a Dynamic Image Collection. 20th International Conference Information Visualisation (IV 2016), Lisbon, Portugal, July 19-22, 2016.
  2. N. Sidère, J.-Y. Ramel, S. Barrat, V. Poulain d'Andecy and S. Kebairi. A Compliant Document Image Classification System Based on One-Class Classifier. 12th IAPR International Workshop on Document Analysis Systems (DAS 2016), pages 96--101, Santorini, Greece, April 11-14, 2016.
  3. N. Girard, R. Trullo, S. Barrat, N. Ragot and J.-Y. Ramel. Interactive Definition and Tuning of One-Class Classifiers for Document Image Classification. 12th IAPR International Workshop on Document Analysis Systems (DAS 2016), pages 358--363, Santorini, Greece, April 11-14, 2016.
  4. F. Rayar, T. Mondal, S. Barrat, F. Bouali and G. Venturini. Visual Analysis System for Features and Distances Qualitative Assessment: Application to Word Image Matching. 12th IAPR International Workshop on Document Analysis Systems (DAS 2016), pages 381--386, Santorini, Greece, April 11-14, 2016.
  5. A. Bouzaieni, S. Tabbone and S. Barrat. Automatic Images Annotation Extension Using a Probabilistic Graphical Model. 16th International Conference on Computer Analysis of Images and Patterns (CAIP 2015), Valetta, Malta, September, 2015.
  6. A. Bouzaieni, S. Barrat and S. Tabbone. Automatic annotation extension and classification of documents using a probabilistic graphical model. 13rd International Conference on Document Analysis and Recognition (ICDAR 2015), pages 316--320, Nancy, France, August 23-26, 2015.
  7. F. Rayar, S. Barrat, F. Bouali and G. Venturini. An Approximate Proximity Graph Incremental Construction for Large Image Collections Indexing. 22nd International Symposium on Methodologies for Intelligent Systems (ISMIS 2015), Lyon, France, 2015.
  8. F. Alaei, N. Girard, S. Barrat and J.-Y. Ramel. A New One-class Classification Method Based on Symbolic Representation: Application to Document Classification. 11th IAPR International Workshop on Document Analysis Systems (DAS 2014), Tours, France, April 7-10, 2014.
  9. T.-A. Pham, M. Delalandre, S. Barrat and J.-Y. Ramel. Robust Symbol Localization Based on Junction Features and Efficient Geometry Consistency Checking. 12th International Conference on Document Analysis and Recognition (ICDAR 2013), pages 1083--1087, Washington, DC, USA, August 25-28, 2013.
  10. T.-A. Pham, S. Barrat, M. Delalandre and J.-Y. Ramel. An Efficient Indexing Scheme Based on Linked-Node m-Ary Tree Structure. 17th International Conference on Image Analysis and Processing (ICIAP 2013), Naples, Italy, September 9-13, 2013.
  11. T.-A. Pham, M. Delalandre, S. Barrat and J.-Y. Ramel. Accurate junction detection and reconstruction in line-drawing images. 21th IEEE International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, November 11-15, 2012.
  12. T.-A. Pham, M. Delalandre, S. Barrat and J.-Y. Ramel. A robust approach for local interest point detection in line-drawing images. 10th IAPR International Workshop on Document Analysis Systems (DAS 2012), Gold Coast, Queensland, Australia, March 27-29, 2012.
  13. T.-A. Pham, M. Delalandre and S. Barrat. A Contour-Based Method for Logo Detection. 11th International Conference on Document Analysis and Recognition (ICDAR 2011), pages 718--722, Beijing, China, September 18-21, 2011.
  14. S. Barrat and S. Tabbone. Modeling, classifying and annotating weakly annotated images using Bayesian network. 10th International Conference on Document Analysis and Recognition (ICDAR 2009), Barcelona, Catalonia, Spain, July 26-29, 2009.
  15. S. Barrat and S. Tabbone. Visual features with semantic combination using Bayesian network for a more effective image retrieval. 19th IEEE International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, USA, December 8-11, 2008.
  16. S. Barrat and S. Tabbone. Classification and automatic annotation extension of images using Bayesian network. Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR 2008), Orlando, Florida, USA, December 4-6, 2008.
  17. S. Tabbone, O. Ramos Terrades, and S. Barrat. Histogram of radon transform. a useful descriptor for shape retrieval. 19th IEEE International Conference on Pattern Recognition (ICPR 2008), Tampa, Florida, USA, December 8-11, 2008.
  18. S. Barrat, S. Tabbone, and P. Nourrissier. A Bayesian classifier for symbol recognition. 7th IAPR INternational Workshop on Graphics Recognition (GREC 2007), Curitiba, Brazil, September 20-21, 2007.
  19. S. Barrat and S. Tabbone. A progressive learning method for symbols recognition. ACM symposium on Applied computing (SAC 2007), pages 627--631, Seoul, Korea, March 11-15, 2007.

Conférences nationales avec comité de lecture et actes (11)

  1. F. Rayar, S. Barrat, F. Bouali and G. Venturini. Construction incrémentale d’une structure hiérarchique pour l’exploration visuelle et interactive de larges collections d’images. 16ème Conférence Internationale Francophone sur l'Extraction et Gestion des Connaissances (EGC 2016), Reims, 2016.
  2. A. Bouzaieni, S. Barrat and S. Tabbone. Extension automatique d'annotation et classification de documents en utilisant un modèle graphique probabiliste. Actes du Colloque International Francophone sur l'Ecrit et le Document (CIFED 2016), Toulouse, 2016.
  3. N.Sidère, F. Alaei, N. Girard, S. Barrat and J.-Y. Ramel. Une nouvelle méthode de classification monoclasse à base de représentation symbolique : application à la classification de documents Actes du 19ème Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2014), Rouen, 2014.
  4. N. Sidère, J.-Y. Ramel, S. Barrat, V. Poulain d'Andecy and S. Kebairi. Identification de documents par classication monoclasse. Actes du Colloque International Francophone sur l'Ecrit et le Document (CIFED 2014), Nancy, 2014.
  5. T.-A. Pham, S. Barrat, M. Delalandre and Jean-Yves Ramel. Une approche robuste pour la détection de points d'intérêt dans les images de documents techniques. Actes du Colloque International Francophone sur l'Ecrit et le Document (CIFED 2012), Bordeaux, 2012.
  6. S. Barrat, N. Sidère, J.-Y. Ramel, S. Denèfle, P. Garret and Alain Salamagne. Utilisations de méthodes à base de points d'intérêts pour l'analyse d'images urbaines. Actes de la 11ème édition de la conférence internationale Hypertextes et hypermédias. Produits, Outils et Méthodes (H2PTM 2011), Metz, 2011.
  7. S. Barrat, G. Alary, M. Iwamura, K. Kise, S. Uchida and S. Omachi. Is quantity better than quality? --- A study case on a simple classifier applied to digit character recognition. Technical Report of IEICE, PRMU2010-65, 110(187):75--80, Fukoka, Japon, Septembre 2010.
  8. S. Barrat and S. Tabbone. Modélisation, classification et annotation d'images partiellement annotées avec un réseau Bayésien. Actes du 17ème Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2010), Caen, 2010.
  9. S. Barrat and S. Tabbone. Classification et extension automatique d'annotations d'images en utilisant un réseau Bayésien. Actes du Colloque International Francophone sur l'Ecrit et le Document (CIFED 2008), pages 169--174, Rouen, 2008.
  10. S. Barrat and S. Tabbone. Modèles graphiques pour la combinaison de descripteurs : application à la reconnaissance de symboles. Actes du 16ème Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2008), Amiens, pages 647--654, 2008.
  11. S. Barrat and S. Tabbone. Apprentissage progressif pour la reconnaissance de symboles dans les documents graphiques. Actes du 15ème Congrès Francophone de Reconnaissance des Formes et Intelligence Artificielle (RFIA 2006), Tours, 2006.