Annuaire > Gomez-Krämer Petra, MCF

  • Maître de Conférences
  • Mots clés :
    Traitement et analyse d’images et de la vidéo

    Résumé du thème de recherche

    Mon domaine de recherche concerne principalement le traitement de l’image, de la vidéo et du document, notamment la super-résolution, la construction de mosaïques, l’estimation de dégradation et la restauration, la segmentation, l’estimation et l’analyse du mouvement, le suivi, l’indexation, la description robuste et la stabilité des algorithmes d’analyse d’images

    Mes domaines d’application sont le traitement de documents acquis par les téléphones mobiles, la sécurité des documents et l’analyse de document historiques.

    Principales publications (4 dernières années)

    Texture feature benchmarking and evaluation for historical document image analysis.
    M. Mehri, P. Héroux, P. Gomez-Krämer, and R. Mullot.
    International Journal on Document Analysis and Recognition, pages 1-35, 2017.

    A comprehensive survey of mostly textual document segmentation algorithms since 2008.
    S. Eskenazi, P. Gomez-Krämer, and J.M. Ogier.
    Pattern Recognition, 64:1-14, 2017.

    Evaluation of the stability of four document segmentation algorithms.
    S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier.
    In International Workshop on Document Analysis Systems (DAS), 2016.

    A texture-based pixel labeling approach for historical books.
    M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot.
    Pattern Analysis and Applications, pages 1-35, 2015.

    The Delaunay document layout descriptor.
    S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier.
    In ACM International Symposium on Document Engineering (DocEng), 2015.

    A conditional random field model for font forgery detection.
    R. Bertrand, O. Ramos Terrades, P. Gomez-Krämer, P. Franco, and J.-M. Ogier.
    In International Conference on Document Analysis and Recognition (ICDAR), 2015.

    A bottom-up method using texture features and a graph-based
    representation for lettrine recognition and classification.
    M. Mehri, P. Gomez-Krämer, P. Héroux, M. Coustaty, J. Lerouge, and R. Mullot.
    In International Conference on Document Analysis and Recognition
    (ICDAR)
    , 2015.

    A structural signature based on texture for digitized historical book page categorization.
    M. Mehri, P. Héroux, J. Lerouge, P. Gomez-Krämer, and R. Mullot.
    In International Conference on Document Analysis and Recognition (ICDAR), 2015.

    Let’s be done with thresholds.
    S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier.
    In International Conference on Document Analysis and Recognition (ICDAR), 2015.

    Extraction of homogeneous regions in historical document images.
    M. Mehri, P. Héroux, N. Sliti, P. Gomez-Krämer, N. Essoukri Ben Amara, and R. Mullot.
    In International Conference on Computer Vision Theory and Applications (VISAPP), volume 3, pages 47-54, 2015.

    Use of SLIC superpixels for ancient document image enhancement and segmentation.
    M. Mehri, N. Sliti, P. Héroux, P. Gomez-Krämer, N. Essoukri Ben Amara, and R. Mullot.
    In SPIE Document Recognition and Retrieval XX (DRR), page 940205, 2015.

    A learning texture-based method for enhancement and segmentation of historical document images.
    M. Mehri, N. Nayef, P. Héroux, P. Gomez-Krämer, and R. Mullot.
    In Workshop on Historical Document Imaging and Processing (HIP), 2015.

    When document security brings new challenges to document analysis.
    S. Eskenazi, P. Gomez-Krämer, and J.-M. Ogier.
    In International Workshop on Computational Forensics (IWCF), Lecture Notes in Computer Science (LNCS 8915), pages 104-116. Springer, 2015.

    Deblurring of document images based on sparse representations enhanced by non-local means.
    N. Nayef, P. Gomez-Krämer, and J.-M. Ogier.
    In International Conference on Pattern Recognition (ICPR), pages 4441-4446, 2014.

    Discovering emergent behaviors from tracks using hierarchical non-parametric bayesian methods.
    G. Chiron, P. Gomez-Krämer, and M. Ménard.
    In International Conference on Pattern Recognition (ICPR), pages 2185-2190, 2014.

    Performance evaluation and benchmarking of six texture-based feature sets for segmenting historical documents.
    M. Mehri, M. Mhiri, P. Héroux, P. Gomez-Krämer, M.A. Mahjoub, and R. Mullot.
    In International Conference on Pattern Recognition (ICPR), pages 2885-2890, 2014.

    A pixel labeling framework for comparing texture features : Application to digitized ancient books.
    M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot.
    In International Conference on Pattern Recognition Applications and Methods (ICPRAM), pages 553-560, 2014.

    3D tracking based on possibilities rather than probabilities. Application to flying honeybees at the beehive entrance.
    G. Chiron, P. Gomez-Krämer, and M. Ménard.
    In Workshop on Visual observation and analysis of Vertebrate And Insect Behavior (VAIB), pages 10-19, 2014.

    Efficient example-based super-resolution of single text images based on selective patch processing.
    N. Nayef, J. Chazalon, P. Gomez-Krämer, and J.-M. Ogier.
    In International Workshop on Document Analysis Systems (DAS), 2014.

    Robustness assessment of texture features for the segmentation of ancient documents.
    M. Mehri, V.C. Kieu, M. Mhiri, P. Héroux, P. Gomez-Krämer, M.A. Mahjoub, and R. Mullot.
    In International Workshop on Document Analysis Systems (DAS), 2014.

    Approche bayesienne non-paramétrique pour la découverte de comportements émergent à partir de trajectoires.
    G. Chiron, P. Gomez-Krämer, and M. Ménard.
    In Congrès National sur la Reconnaissance de Formes et l’Intelligence d’Artificielle (RFIA), 2014.

    Detecting and tracking honeybees in 3D at the beehive entrance by stereo vision.
    G. Chiron, P. Gomez-Krämer, and M. Ménard.
    EURASIP Journal on Image and Video Processing, 59, 2013.

    3D tracking of honeybees enhanced by environmental context.
    G. Chiron, P. Gomez-Krämer, M. Ménard, and F. Requier.
    In International Conference on Image Analysis and Processing (ICIAP), Lecture Notes in Computer Science (LNCS 8156), pages 702-711. Springer, 2013.

    A system based on intrinsic features for fraudulent document detection.
    R. Bertrand, P. Gomez-Krämer, O. Ramos Terrades, P. Franco, and J.-M. Ogier.
    In International Conference on Document Analysis and Recognition (ICDAR), pages 106-110, 2013.

    A pixel labeling approach for historical digitized books.
    M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot.
    In International Conference on Document Analysis and Recognition (ICDAR), pages 817-821, 2013.

    Mobile phone camera-based video scanning of paper documents.
    M.M. Luqman, P. Gomez-Krämer, and J.-M. Ogier.
    In Workshop on Camera-Based Document Analysis and Recognition (CBDAR), pages 77-82, 2013.

    Texture feature evaluation for segmentation of historical document images.
    M. Mehri, P. Gomez-Krämer, P. Héroux, A. Boucher, and R. Mullot.
    In Workshop on Historical Document Imaging and Processing (HIP), 2013.

    Outdoor 3D acquisition system for small and fast targets. Application to honeybee monitoring at the beehive entrance.
    G. Chiron, P. Gomez-Krämer, and M. Ménard.
    In GEODIFF Workshop, pages 10-19, 2013.

    Points forts de mes activités relevant des missions autres que la recherche

    Enseignements :

    • Programmation orientée objet et conception (Java et JEE) en DUT Informatique