Nombre de documents

77

Philippe-Henri Gosselin


Article dans une revue20 documents

  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • Alexis Lechervy, Philippe-Henri Gosselin, Frédéric Precioso. Boosted kernel for image categorization. Multimedia Tools and Applications, Springer Verlag, 2013. <hal-00799068>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • Matthieu Cord, Philippe-Henri Gosselin, Sylvie Philipp-Foliguet. Stochastic exploration and active learning for image retrieval.. Image and Vision Computing, Elsevier, 2007, pp.14-23. <10.1016/j.imavis.2006.01.004>. <hal-00520289>
  • 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, 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>
  • 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>
  • David Picard, Philippe-Henri Gosselin. Évaluation de descripteurs visuels pour l'annotation automatique d'images patrimoniales. Gretsi 2015, Sep 2015, Lyon, France. <hal-01277486>
  • 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>
  • 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>
  • 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. 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • Jonathan Delhumeau, Philippe-Henri Gosselin, Hervé Jégou, Patrick Pérez. Revisiting the VLAD image representation. ACM Multimedia, Oct 2013, Barcelona, Spain. 2013. <hal-00840653v2>
  • 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>
  • 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. <hal-00832196v2>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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. 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, 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • 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>
  • Julien Gony, Matthieu Cord, Sylvie Philipp-Foliguet, Philippe-Henri Gosselin, Frédéric Precioso, et al.. RETIN: a smart interactive digital media retrieval system. ACM International Conference on Image and Video Retrieval, Jul 2007, Amsterdam, Netherlands. pp.93-96, 2007. <hal-00753148>
  • 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>
  • 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. 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, 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. 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. 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, 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. RETIN AL: An Active Learning Strategy for Image Category Retrieval. IEEE International Conference on Image Processing,, Oct 2004, Singapore. pp.1, 2004. <hal-00520315>
  • 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>

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

  • 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>
  • 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>

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>