Nombre de documents

77

Philippe-Henri Gosselin


Article dans une revue20 documents

  • Vu-Lam Nguyen, Ngoc-Son Vu, Hai-Hong Phan, Philippe-Henri Gosselin. LBP-and-ScatNet-based Combined Features For Efficient Texture Classification. Multimedia Tools and Applications, Springer Verlag, A Paraître, 〈10.1007/s11042-017-4824-5〉. 〈hal-01593393〉
  • Piotr Koniusz, Fei Yan, Philippe-Henri Gosselin, Krystian Mikolajczyk. Higher-order Occurrence Pooling for Bags-of-Words: Visual Concept Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2016, 〈10.1109/TPAMI.2016.2545667〉. 〈hal-01356149〉
  • Ahmet Iscen, Giorgos Tolias, Philippe-Henri Gosselin, Hervé Jégou. A comparison of dense region detectors for image search and fine-grained classification. IEEE Transactions on Image Processing, Institute of Electrical and Electronics Engineers, 2015, pp.00. 〈10.1109/TIP.2015.2423557〉. 〈hal-01143201〉
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. A Unified framework for local visual descriptors evaluation. Pattern Recognition, Elsevier, 2015, 48, pp.1170-1180. 〈10.1016/j.patcog.2014.11.013〉. 〈hal-01089310〉
  • David Picard, Philippe-Henri Gosselin, Marie-Claude Gaspard. Challenges in Content-Based Image Indexing of Cultural Heritage Collections. IEEE Signal Processing Magazine, Institute of Electrical and Electronics Engineers, 2015, 32 (4), pp.95 - 102. 〈10.1109/MSP.2015.2409557〉. 〈hal-01164409〉
  • Jerome Fellus, David Picard, Philippe-Henri Gosselin. Asynchronous gossip principal components analysis. Neurocomputing, Elsevier, 2015, pp.0. 〈10.1016/j.neucom.2014.11.076〉. 〈hal-01148639〉
  • Jefersson Dos Santos, Otavio Penatti, Philippe-Henri Gosselin, Alexandre Falcão, Sylvie Philipp-Foliguet, et al.. Efficient and Effective Hierarchical Feature Propagation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2014, 〈10.1109/JSTARS.2014.2341175〉. 〈hal-01079612〉
  • Philippe-Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin. Revisiting the Fisher vector for fine-grained classification. Pattern Recognition Letters, Elsevier, 2014, 49, pp.92-98. 〈hal-01056223〉
  • Virginia Fernandes Mota, Eder de Almeida Perez, Silva Maciel Luiz Maurílio Da, Marcelo Bernardes Vieira, Philippe-Henri Gosselin. A tensor motion descriptor based on histograms of gradients and optical flow. Pattern Recognition Letters, Elsevier, 2014, 39, pp.85-91. 〈10.1016/j.patrec.2013.08.008〉. 〈hal-00861395〉
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. Local polynomial space–time descriptors for action classification. Machine Vision and Applications, Springer Verlag, 2014, pp.1-11. 〈10.1007/s00138-014-0652-z〉. 〈hal-01097536〉
  • Jefersson Alex Dos Santos, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, Ricardo Da Silva Torres, Alexandre Xavier Falcao. Interactive Multiscale Classification of High-Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, IEEE, 2013, PP (99), pp.1-15. 〈hal-00799071〉
  • David Picard, Philippe-Henri Gosselin. Efficient image signatures and similarities using tensor products of local descriptors. Computer Vision and Image Understanding, Elsevier, 2013, 117 (6), pp.680-687. 〈10.1016/j.cviu.2013.02.004〉. 〈hal-00799074〉
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Web scale image retrieval using compact tensor aggregation of visual descriptors. IEEE MultiMedia, Institute of Electrical and Electronics Engineers, 2013, 20 (3), pp.24-33. 〈hal-00832760〉
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosted kernel for image categorization. Multimedia Tools and Applications, Springer Verlag, 2013. 〈hal-00799068〉
  • Jefersson Alex Dos Santos, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, Ricardo Da Silva Torres, Alexandre Xavier Falcao. Multiscale Classification of Remote Sensing Images. IEEE Transactions on Geoscience and Remote Sensing, Institute of Electrical and Electronics Engineers, 2012, 50 (10), pp.3764-3775. 〈hal-00753160〉
  • Philippe-Henri Gosselin, Frédéric Precioso, Sylvie Philipp-Foliguet. Incremental Kernel Learning for Active Image Retrieval without Global Dictionaries. Pattern Recognition, Elsevier, 2011, 44 (10-11), pp.2244-2254. 〈10.1016/j.patcog.2010.12.006〉. 〈hal-00619211〉
  • Justine Lebrun, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet. Inexact graph matching based on kernels for object retrieval in image databases. Image and Vision Computing, Elsevier, 2011, 29 (11), pp.716-729. 〈10.1016/j.imavis.2011.07.008〉. 〈hal-00660300〉
  • Sylvie Philipp-Foliguet, Julien Gony, Philippe-Henri Gosselin. FReBIR : an image retrieval system based on fuzzy region matching. Computer Vision and Image Understanding, Elsevier, 2009, 113, pp.693-707. 〈hal-00519447〉
  • Philippe-Henri Gosselin, Matthieu Cord. Feature based approach to semi-supervised similarity learning.. Pattern Recognition, Special issue on Similarity-Based Pattern Recognition., 2006, pp.1839-1851. 〈hal-00520288〉
  • Matthieu Cord, Jérome Fournier, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet. Interactive Exploration for Image Retrieval.. EURASIP Journal on Advances in Signal Processing, SpringerOpen, 2006, pp.2173-2186. 〈hal-00520284〉

Communication dans un congrès52 documents

  • Vu-Lam Nguyen, Ngoc-Son Vu, Hai-Hong Phan, Philippe-Henri Gosselin. An Integrated Descriptor for Texture Classification. 23rd IEEE International Conference on Pattern Recognition (ICPR 2016), Dec 2016, Cancun, Mexico. 2016 23rd International Conference on Pattern Recognition (ICPR), 〈10.1109/ICPR.2016.7899931〉. 〈hal-01593389〉
  • Vu-Lam Nguyen, Ngoc-Son Vu, Philippe-Henri Gosselin. A scattering transform combination with local binary pattern for texture classification. International Workshop on Content-based Multimedia Indexing , Jun 2016, Bucharest, Romania. 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI) 2016, 〈10.1109/CBMI.2016.7500238〉. 〈hal-01346956〉
  • David Picard, Philippe-Henri Gosselin. Évaluation de descripteurs visuels pour l'annotation automatique d'images patrimoniales. Gretsi 2015, Sep 2015, Lyon, France. 〈hal-01277486〉
  • Jerome Fellus, David Picard, Philippe-Henri Gosselin. Asynchronous decentralized convex optimization through short-term gradient averaging. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2015, Bruges, Belgium. 2015. 〈hal-01148648〉
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Efficient Dimension Reduction Of Global Signature With Sparse Projectors For Image Near Duplicate Retrieval. IAPR International Conference on Pattern Recognition, Aug 2014, Stockholm, Sweden. 6 p., 2014. 〈hal-01064050〉
  • Jérôme Fellus, David Picard, Philippe-Henri Gosselin. Dimensionality reduction in decentralized networks by Gossip aggregation of principal components analyzers. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2014, Bruges, Belgium. pp.171-176, 2014. 〈hal-00985721〉
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Evaluation of Second-order Visual Features for Land-Use Classification. 12th International Workshop on Content-Based Multimedia Indexing, Jun 2014, France. 5 p., 2014. 〈hal-01022971〉
  • Hedi Tabia, Hamid Laga, David Picard, Philippe-Henri Gosselin. Covariance Descriptors for 3D Shape Matching and Retrieval. IEEE Conference on Computer Vsion and Pattern Recognition, Jun 2014, Columbus, Ohio, United States. 8 p., 2014. 〈hal-01022970〉
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. DIMENSIONALITY REDUCTION OF VISUAL FEATURES USING SPARSE PROJECTORS FOR CONTENT-BASED IMAGE RETRIEVAL. IEEE International Conference on Image Processing, Oct 2014, Paris, France. pp.2192-2196. 〈hal-01081770〉
  • Philippe-Henri Gosselin, David Picard. Machine Learning and Content-Based Multimedia Retrieval. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2013, Bruges, Belgium. pp.251-260, 2013. 〈hal-00864824〉
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. A Unified Formalism for Video Descriptors. IEEE Int. Conf. on Image Processing ICIP2013, Sep 2013, Melbourne, Australia. pp.2416-2419, 2013. 〈hal-00832190v2〉
  • Rachid Benmokhtar, Jonathan Delhumeau, Philippe-Henri Gosselin. Efficient Supervised Dimensionality Reduction for Image Categorization. IEEE International Conference on Acoustics, Speech, and Signal Processing, May 2013, Vancouver, Canada. pp.2425-2428, 2013. 〈hal-00807483〉
  • Jefersson Ale Dos Santos, Otávio Penatti, Ricardo Da Silva Torres, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, et al.. Remote Sensing Image Representation based on Hierarchical Histogram Propagation. IEEE International Geoscience and Remote Sensing Symposium, Jul 2013, Melbourne, Australia. pp.4, 2013. 〈hal-00861379〉
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. Fast Approximation of Distance Between Elastic Curves using Kernels. British Machine Vision Conference, Sep 2013, United Kingdom. pp.11, 2013. 〈hal-00861369〉
  • Jérôme Fellus, David Picard, Philippe-Henri Gosselin. Decentralized K-means using randomized Gossip protocols for clustering large datasets. International Workshop on Knowledge Discovery Using Cloud and Distributed Computing Platforms, Dec 2013, Dallas, Texas, United States. pp.8, 2013. 〈hal-00915822〉
  • Jonathan Delhumeau, Philippe-Henri Gosselin, Hervé Jégou, Patrick Perez. Revisiting the VLAD image representation. ACM Multimedia, Oct 2013, Barcelona, Spain. 2013. 〈hal-00840653v2〉
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. 3D Shape Similarity Using Vectors of Locally Aggregated Tensors. IEEE International Conference on Image Processing, Sep 2013, Melbourne, Australia. pp.2694-2698, 2013. 〈hal-00832182〉
  • Mehdi Badr, Dan Vodislav, David Picard, Shaoyi Yin, Philippe-Henri Gosselin. Multi-criteria Search Algorithm: An Efficient Approximate K-NN Algorithm for Image Retrieval. IEEE Int. Conf. on Image Processing ICIP2013, Sep 2013, Melbourne, Australia. pp.2901-2905, 2013, 〈10.1109/ICIP.2013.6738597〉. 〈hal-00832196v2〉
  • Hedi Tabia, David Picard, Hamid Laga, Philippe-Henri Gosselin. Compact Vectors of Locally Aggregated Tensors for 3D shape retrieval. Eurographics Workshop on 3D Object Retrieval, May 2013, Girona, Spain. 2013. 〈hal-00807501〉
  • Jérôme Fellus, David Picard, Philippe-Henri Gosselin. Calcul décentralisé de dictionnaires visuels pour l'indexation multimédia dans les bases de données réparties sur les réseaux. ORASIS : Orasis, Congrès des jeunes chercheurs en vision par ordinateur, Jun 2013, Cluny, France. 2013. 〈hal-00807486〉
  • Olivier Kihl, David Picard, Philippe-Henri Gosselin. Local polynomial space-time descriptors for actions classification. International Conference on Machine Vision Applications, May 2013, Kyoto, Japan. 2013. 〈hal-00807493〉
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosting Kernel Combination for multi-class image categorization. 2012 IEEE International Conference on Image Processing (ICIP), Sep 2012, Orlando, United States. IEEE, pp.4, 2012. 〈hal-00753156〉
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Using Spatial Pyramids with Compacted VLAT for Image Categorization. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. 2012. 〈hal-00753158〉
  • Virginia Fernandes Mota, Eder de Almeida Perez, Marcelo Bernardes Vieira, Silva Maciel Luiz Maurílio Da, Frédéric Precioso, et al.. A tensor based on optical flow for global description of motion in videos. SIBGRAPI 2012, Aug 2012, Ouro Preto, Brazil. pp.4, 2012. 〈hal-00753159〉
  • Romain Negrel, David Picard, Philippe-Henri Gosselin. Compact Tensor Based Image Representation for Similarity Search. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. 2012. 〈hal-00753157〉
  • Philippe-Henri Gosselin. ONLINE KERNEL LEARNING FOR INTERACTIVE RETRIEVAL IN DYNAMIC IMAGE DATABASES. IEEE International Conference on Image Processing, Sep 2012, Orlando, United States. 2012. 〈hal-00753154〉
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Linear kernel combination using boosting. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, Apr 2012, Bruges, Belgium. pp.6, 2012. 〈hal-00753155〉
  • Jefersson Ale Dos Santos, Otávio Penatti, Ricardo Da Silva Torres, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet, et al.. Improving Texture Description in Remote Sensing Image Multi-Scale Classification Tasks By Using Visual Words. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. 2012. 〈hal-00753152〉
  • Jefersson Alex Dos Santos, Augusto Faria Fábio, Ricardo Da Silva Torres, Anderson Rocha, Philippe-Henri Gosselin, et al.. Descriptor Correlation Analysis for Remote Sensing Image Multi-Scale Classification. International Conference on Pattern Recognition, Nov 2012, Tsukuba, Japan. 2012. 〈hal-00753162〉
  • Romain Negrel, Virgínia Fernandes Mota, Philippe-Henri Gosselin, Marcelo Bernardes Vieira, Frederic Precioso. Indexation des Bases Vidéos à l'aide d'une Modélisation du Flot Optique par Bases de Polynômes. RFIA 2012 (Reconnaissance des Formes et Intelligence Artificielle), Jan 2012, Lyon, France. 2012. 〈hal-00656527〉
  • Bertrand Delezoide, Frédéric Precioso, Philippe-Henri Gosselin, Miriam Redi, Bernard Merialdo, et al.. IRIM at TRECVID 2011: Semantic Indexing and Instance Search. TRECVID 2011 - TREC Video Retrieval Evaluation Online, Nov 2011, Gaithersburg, MD, United States. NIST, 12p., 2011. 〈hal-00677651〉
  • David Picard, Philippe-Henri Gosselin. Improving Image Similarity With Vectors of Locally Aggregated Tensors. 2011 IEEE International Conference on Image Processing (IEEE ICIP2011), Sep 2011, Brussels, Belgium. pp.669 - 672, 2011, 〈10.1109/ICIP.2011.6116641〉. 〈hal-00591993〉
  • David Gorisse, Frédéric Precioso, Philippe-Henri Gosselin, Lionel Granjon, Denis Pellerin, et al.. IRIM at TRECVID 2010: Semantic Indexing and Instance Search. TRECVID - TREC Video Retrieval Evaluation workshop, Nov 2010, Gaithersburg, MD, United States. 2010. 〈hal-00591099〉
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Active Boosting for interactive object retrieval.. International Conference on Pattern Recognition, Aug 2010, Turkey. pp.1, 2010. 〈hal-00520294〉
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosting actif pour la recherche interactive d'images. Reconnaissance des Formes et Intelligence Artificielle, Jan 2010, France. pp.1, 2010. 〈hal-00520319〉
  • Jean-Emmanuel Haugeard, Sylvie Philipp-Foliguet, Philippe-Henri Gosselin. Kernel on Graphs based on Dictionary of Paths for Image Retrieval.. International Conference on Pattern Recognition, Aug 2010, Turkey. pp.1, 2010. 〈hal-00520295〉
  • Sylvie Philipp-Foliguet, Michel Jordan, Matthias Fuzier, Philippe-Henri Gosselin. Indexing of 3D Models Based on Graph of Surfacic Regions. International Workshop on 3D Object Retrieval, Oct 2010, Firenze, Italy. pp.4, 2010. 〈hal-00519835〉
  • Bertrand Delezoide, Hervé Le Borgne, Pierre-Alain Moëllic, David Gorisse, Frédéric Precioso, et al.. IRIM at TRECVID2009: High Level Feature Extraction. TREC Video Retrieval Evaluation: TRECVID, Nov 2009, Gaithersburg, MD, United States. TREC Video Retrieval Evaluation Online Proceedings (TRECVID), 2010. 〈hal-00468199〉
  • Justine Lebrun, Sylvie Philipp-Foliguet, Philippe-Henri Gosselin. Image retrieval with graph kernel on regions.. International Conference on Pattern Recognition, Dec 2008, United States. pp.1, 2008. 〈hal-00520300〉
  • Philippe-Henri Gosselin, Justine Lebrun, Sylvie Philipp-Foliguet. Recherche d'images par noyaux sur graphes de régions.. Extraction et Gestion des Connaissances, Jan 2008, France. pp.1, 2008. 〈hal-00520282〉
  • Philippe-Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet. Kernel on Bags of Fuzzy Regions for fast object retrieval. ICIP 2007 - IEEE International Conference on Image Processing, Sep 2007, San Antonio, Texas, United States. IEEE, pp.177-180, 2007, 〈10.1109/ICIP.2007.4378920〉. 〈hal-00520302〉
  • Philippe-Henri Gosselin, Matthieu Cord, Sylvie Philipp-Foliguet. Kernel on Bags for multi-object database retrieval.. ACM International Conference on Image and Video Retrieval, Jul 2007, Amsterdam, Netherlands. ACM, pp.226-231, 2007, 〈10.1145/1282280.1282317〉. 〈hal-00520303〉
  • Matthieu Cord, Philippe-Henri Gosselin. Image Retrieval using Long-Term Semantic Learning. IEEE International Conference on Image Processing, Oct 2006, France. pp.1, 2006. 〈hal-00520307〉
  • Philippe-Henri Gosselin, Matthieu Cord. Precision-Oriented Active Selection for Interactive Image Retrieval.. IEEE International Conference on Image Processing, Oct 2006, United States. pp.1, 2006. 〈hal-00520305〉
  • Sylvie Philipp-Foliguet, Guillaume Logerot, Patrick Constant, Philippe-Henri Gosselin, Christian Lahanier. Multimedia Indexing and Fast Retrieval Based on a Vote System. IEEE International Conference on Multimedia and Expo, Jul 2006, Canada. pp.1, 2006. 〈hal-00520309〉
  • Philippe-Henri Gosselin, Matthieu Cord. Semantic kernel learning for interactive image retrieval. IEEE International Conference on Image Processing, Sep 2005, Italy. pp.1, 2005. 〈hal-00520310〉
  • Philippe-Henri Gosselin, Matthieu Cord. Active learning techniques for user interactive systems: application to image retrieval. International Workshop on Machine Learning techniques for processing MultiMedia content, Aug 2005, France. pp.1, 2005. 〈hal-00520312〉
  • Philippe-Henri Gosselin, Matthieu Cord. Méthodes d'apprentissage sémantiques: application à la recherche d'images.. Conférence sur l'Apprentissage Automatique, May 2005, Nice, France. pp.1, 2005. 〈hal-00520280〉
  • Philippe-Henri Gosselin, Micheline Najjar, Matthieu Cord, Christophe Ambroise. Discriminative Classification vs Modeling Methods in CBIR. IEEE International Conference on Advanced Concepts for Intelligent Vision Systems, Sep 2004, Belgium. pp.1, 2004. 〈hal-00520316〉
  • Philippe-Henri Gosselin, Matthieu Cord. A Comparison of Active Classification Methods for Content-Based Image Retrieval. International Workshop on Computer Vision meets Databases, ACM Sigmod, Jun 2004, France. pp.1, 2004. 〈hal-00520318〉
  • Philippe-Henri Gosselin, Matthieu Cord. Semantic Kernel Updating for Content-Based Image Retrieval. IEEE International Workshop on Multimedia Content-based Analysis and Retrieval, Dec 2004, United States. pp.1, 2004. 〈hal-00520313〉
  • Philippe-Henri Gosselin, Matthieu Cord. RETIN AL: An Active Learning Strategy for Image Category Retrieval. IEEE International Conference on Image Processing,, Oct 2004, Singapore. pp.1, 2004. 〈hal-00520315〉

Pré-publication, Document de travail1 document

  • Philippe-Henri Gosselin, Micheline Najjar, Matthieu Cord, Christophe Ambroise, Sylvie Philipp-Foliguet. Méthodes d'Apprentissage pour la Recherche d'Images par le Contenu.. 2004. 〈hal-00520277〉

Rapport2 documents

  • Piotr Koniusz, Fei Yan, Philippe-Henri Gosselin, Krystian Mikolajczyk. Higher-order Occurrence Pooling on Mid- and Low-level Features: Visual Concept Detection. [Technical Report] 2013, pp.20. 〈hal-00922524〉
  • Philippe-Henri Gosselin, Naila Murray, Hervé Jégou, Florent Perronnin. Inria+Xerox@FGcomp: Boosting the Fisher vector for fine-grained classification. [Research Report] RR-8431, INRIA. 2013. 〈hal-00920187v2〉

Thèse1 document

  • Philippe-Henri Gosselin. Méthodes d'apprentissage pour la recherche de catégories dans des bases d'images. Interface homme-machine [cs.HC]. Université de Cergy Pontoise, 2005. Français. 〈tel-00619222〉

HDR1 document

  • Philippe-Henri Gosselin. Apprentissage interactif pour la recherche par le contenu dans les bases multimédias. Recherche d'information [cs.IR]. Université de Cergy Pontoise, 2011. 〈tel-00660316〉