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ImageCLEF publications

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  1. Books
  2. Working Notes and (post-workshop) Proceedings for ImageCLEF
  3. Publications describing ImageCLEF and its resources in more detail
  4. Publications using ImageCLEF data



Books



ImageCLEF working notes and post-workshop proceedings



Publications describing ImageCLEF and its resources in more detail


    2012

  • H. Müller, J. Kalpathy-Cramer, D. Demner-Fushman and S. Antani, Creating a Classification of Image Types in the Medical Literature for Visual Categorization, SPIE medical imaging, San Diego, USA, 2012
  • Theodora Tsikrika, Jana Kludas, and Adrian Popescu. Building reliable and reusable test collections for image retrieval:The Wikipedia task at ImageCLEF. IEEE Multimedia, Special Issue on Large-Scale Multimedia Data Collections, 19(3):24-33, July-September 2012.


    • 2010

  • H. Müller, J. Kalpathy-Cramer. The ImageCLEF Medical Retrieval Task at ICPR 2010 – Information Fusion, ICPR 2010 – Proceedings of the 20th International Conference on Pattern Recognition, pages 3284-3287, 2010.
  • S. Nowak. ImageCLEF@ ICPR Contest: Challenges, Methodologies and Results of the Photo Annotation Task, ICPR 2010 – Proceedings of the 20th International Conference on Pattern Recognition, pages 489-492, 2010.
  • H. Müller, J. Kalpathy-Cramer. The ImageCLEF Medical Retrieval Task at ICPR 2010 – Information Fusion to Combine Visual and Textual Information, Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 99-108, 2010.
  • S. Nowak. Overview of the photo annotation task in imageCLEF@ ICPR, Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 138-151, 2010.
  • A. Pronobis, H. I. Christensen, B. Caputo. Overview of the imageCLEF@ ICPR 2010 robot vision track, Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 171-179, 2010.
  • S. Nowak, A. Llorente, E. Motta, S. Rüger. The effect of semantic relatedness measures on multi-label classification evaluation, CIVR 2010 - Proceedings of the 2010 ACM International Conference on Image and Video Retrieval, 2010.
  • S. Nowak, H. Lukashevich, P. Dunker, S. Rüger. Performance measures for multilabel evaluation: a case study in the area of image classification, MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval, pages 35-44, 2010.
  • S. Nowak, S. Rüger. How reliable are annotations via crowdsourcing: a study about inter-annotator agreement for multi-label image annotation, MIR 2010 - Proceedings of the 2010 ACM SIGMM International Conference on Multimedia Information Retrieval, 557-566, 2010.
  • J. Kalpathy-Cramer, S. Bedrick, S. Radhouani, W. Hersh, I. Eggel, C.E. Kahn Jr., H. Müller. Retrieving Similar Cases from the Medical Literature-The ImageCLEF experience., Studies in Health Technology and Informatics, 160, pages 1189-1193, 2010.
  • A. Pronobis, B. Caputo, P. Jensfelt, H.I. Christensen. A realistic benchmark for visual indoor place recognition, Robotics and Autonomous Systems, 58, 2010.
  • A. Hanbury, H. Müller, P. Clough, Editorial: Special issue on image and video retrieval evaluation, Computer Vision and Image Understanding, 114(4), pages 409-410, 2010.
  • H.J. Escalante, C.A. Hernández, J.A., Gonzalez, A. López-López, M. Montes, E.F. Morales, L. Enrique Sucar, L. Villaseñor, M. Grubinger. The segmented and annotated IAPR TC-12 benchmark, Computer Vision and Image Understanding, 114(4), pages 419-428, 2010.
  • H. Müller, T. Tsikrika. Global Pattern Recognition: The ImageCLEF Benchmark, IAPR Newsletter, 32(1), pages 3—6, 2010.


    • 2009

  • W. Hersh, H. Müller, J. Kalpathy-Cramer. The ImageCLEFmed medical image retrieval task test collection, Journal of Digital Imaging, 22(6), pages 648-655, 2009.
  • H. Lukashevich, S. Nowak, P. Dunker. Using one-class SVM outliers detection for verification of collaboratively tagged image training sets, ICME 2009 - Proceedings of the IEEE International Conference on Multimedia and Expo, pages 682-685, 2009.
  • S. Nowak, H. Lukashevich. Multilabel classification evaluation using ontology information, Proceedings of ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web, 2009.
  • S. Nowak, P. Dunker. A Consumer Photo Tagging Ontology: Concepts and Annotations, Proceedings of the 2009 Theseus/ImageCLEF workshop on visual information retrieval evaluation, 2009.
  • H. J. Escalante, M. Montes, E. Sucar. On the SAIAPR TC-12 benchmark, Proceedings of the 2009 Theseus/ImageCLEF workshop on visual information retrieval evaluation, 2009.
  • J. Karlgren. Affect, appeal, and sentiment as factors influencing interaction with multimedia information, Proceedings of the 2009 Theseus/ImageCLEF workshop on visual information retrieval evaluation, 2009.
  • M. L. Paramita, M. Sanderson, P. Clough. Developing a test collection to support diversity analysis, SIGIR 2009 Workshop: Redundancy, Diversity, and Interdependent Document Relevance, 2009.


    • 2008

  • T. Deselaers, H. Müller, T.M. Deserno. Editorial: Editorial to the Special Issue on Medical Image Annotation in ImageCLEF 2007, Pattern Recognition Letters, 29(15), pages 1987, 2008.
  • T. Deselaers, T.M. Deserno, H. Müller. Automatic medical image annotation in ImageCLEF 2007: Overview, results, and discussion, Pattern Recognition Letters, 29(15), pages 1988-1995, 2008.
  • T. Arni, J. Tang, M. Sanderson, P. Clough. Creating a test collection to evaluate diversity in image retrieval, SIGIR 2008 Workshop on Beyond Binary Relevance: Preferences, Diversity, and Set-Level Judgments, 2008.
  • S Sedghi, M Sanderson, P. Clough. A study on the relevance criteria for medical images, Pattern Recognition Letters, 29(15), pages 2046-2057, 2008.
  • H. Müller, J Kalpathy-Cramer, W Hersh, A. Geissbuhler. Using Medline queries to generate image retrieval tasks for benchmarking, Studies in Health Technology and Informatics, 136, pages 523-528, 2008.
  • S. Nowak, P. Dunker. A generic Framework for the Evaluation of content-based Image and Video Analysis Tasks in the Core Technology Cluster of THESEUS, QUAERO/ImageCLEF Workshop on Multimedia Information Retrieval Evaluation, 2008.


    • 2007

  • T. Deselaers, H. Müller, P Clough, H. Ney, T. M. Lehmann. The CLEF 2005 automatic medical image annotation task, International Journal of Computer Vision, 74(1), pages 51-58, 2007.
  • H. Müller, P. Clough, B. Hersh, A. Geissbuhler. Variation of relevance assessments for medical image retrieval, AMR 2006 - Proceedings of the 4th international conference on Adaptive multimedia retrieval, LNCS 4398, pages 232-246, 2007.
  • H. Müller, C. Boyer, A. Gaudinat, B. Hersh, A. Geissbuhler. Analyzing web log files of the health on the net HONMedia search engine to define typical image search tasks for image retrieval evaluation, Studies in Health Technology and Informatics, 129, pages 1319-1323, 2007.
  • W. Hersh, H. Müller. Image retrieval in medicine: The ImageCLEF medical image retrieval evaluation, Bulletin of the American Society for Information Science and Technology, 33(3), 2007.
  • H. Muller, X. Zhou, A. Depeursinge, M. J. Pitkänen, J. Iavindrasana, A. Geissbuhler. Medical visual information retrieval: State of the art and challenges ahead, ICME 2007 - Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, pages 683—686, 2007.
  • M. Grubinger, P. Clough. On the creation of query topics for ImageCLEFphoto, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, pages 50-63, 2007.
  • V. Viitaniemi, J. Laaksonen. Thoughts on evaluation of image retrieval inspired by ImageCLEF 2007 object retrieval task, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
  • P. Clough. Image retrieval: Large-scale evaluation of cross-language image retrieval systems, Bulletin of the American Society for Information Science and Technology, 33(3), 2007.
  • W. Hersh, H. Müller, J. Kalpathy-Cramer, E. Kim. Consolidating the ImageCLEF Medical Task Test Collection: 2005-2007, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.
  • H. Müller, T. Deselaers, M. Grubinger, P. Clough, A, Hanbury, W. Hersh. Problems with running a successful multimedia retrieval benchmark, Proceedings of the Third Workshop on Image and Video Retrieval Evaluation, 2007.


    • 2006

  • W. Hersh, H. Muller, J.R. Jensen, J. Yang, P.N. Gorman, P. Ruch. Advancing biomedical image retrieval: development and analysis of a test collection, Journal of the American Medical Informatics Association, 13(5), pages 488-496, 2006.
  • H. Müller, P. Clough, W. Hersh, T. Deselaers, T. M. Lehmann, B. Janvier, A. Geissbuhler. Using heterogeneous annotation and visual information for the benchmarking of image retrieval systems, Proceedings of SPIE - Internet Imaging VII , 6061, 2006.
  • P. Clough, W. Hersh, A. Rorissa, M. Ruiz. ImageCLEF and ImageCLEFmed: Toward standard test collections for image storage and retrieval research, Proceedings of the ASIST Annual Meeting, 43(1), pages 1 – 6, 2006.
  • M. Grubinger, P. Clough, H. Müller, P. Clough. The IAPR TC-12 benchmark-a new evaluation resource for visual information systems, Proceedings of International Workshop OntoImage’2006 Language Resources for Content-Based Image Retrieval, pages 13-23, 2006.
  • H. Müller, C. Despont-Gros, W. Hersh, J. Jensen, C. Lovis, A. Geissbuhler. Health care professionals' image use and search behaviour, MIE 2006 - Proceedings of the Medical Informatics Europe Conference , pages 24-32, 2006.
  • P. Clough, H. Müller. Building and Evaluating Systems for Cross-Language Image Retrieval, DELOS Network of Excellence on Digital Libraries Demo Day, 2006.
  • M. Grubinger, P. Clough, C. Leung. The iapr tc-12 benchmark for visual information search, IAPR Newsletter, 28(2), pages 10 – 12, 2006.
  • P. Clough, M. Sanderson, N. Reid. The Eurovision St Andrews Collection of Photographs, ACM SIGIR Forum, 40(1), pages 21-30, 2006.


    • 2005

  • H. Müller, P. Clough, W. Hersh, T. Deselaers, T. M. Lehmann, A. Geissbuhler. Evaluation axes for the medical image retrieval systems: the Image CLEF experience, MULTIMEDIA 2005 - Proceedings of the 13th annual ACM international conference on Multimedia, pages 1014-1022, 2005.
  • W. Hersh, H. Müller, P. Gorman, J. Jensen. Task analysis for evaluating image retrieval systems in the ImageCLEF biomedical image retrieval task, Slice of Life conference on Multimedia in Medical Education, 2005.
  • M. Grubinger, C. Leung, P. Clough. The IAPR benchmark for assessing image retrieval performance in cross-language evaluation tasks, Proceedings of the first MUSCLE / ImageCLEF workshop on image and video retrieval evaluation, 2005.
  • H. Müller, P. Clough, A. Geissbuhler, W. Hersh. ImageCLEF 2004-2005: results, experiences and new ideas for image retrieval evaluation, Proceedings of the Fourth International Workshop on Content-Based Multimedia Indexing (CBMI2005), 2005.
  • W. Hersh, J. Jensen, H. Müller, P. Gorman. A qualitative task analysis of biomedical image use and retrieval, Proceedings of the first MUSCLE / ImageCLEF workshop on image and video retrieval evaluation, 2005.


    • 2004

  • H. Müller, A. Rosset, J.P. Vallee, F. Terrier, A. Geissbuhler. A reference data set for the evaluation of medical image retrieval systems, Computerized Medical Imaging and Graphics, 28(6), pages 295-305, 2004.
  • P. Clough, M. Sanderson, H. Müller. The CLEF Cross Language Image Retrieval Track (ImageCLEF) 2004, Proceedings of the 2004 CIVR conference, LNCS 3115, pages 243-251, 2004.
  • M. Sanderson, P. Clough, C. Paterson, W. Tung Lo. Measuring a cross language image retrieval system, ECIR 2004 - Proceedings of the 26th European Conference on IR Research, LNCS 2997, pages 353-363, 2004.
  • P. Over, C. Leung, H. Ip, M. Grubinger. Multimedia retrieval benchmarks, IEEE Multimedia, 11(2), pages 80-84, 2004.
  • H. Müller, A Geissbuhler, S. Marchand-Maillet, P. Clough. Benchmarking image retrieval applications, Proceedings of the Conference on Visual Information Systems (VISUAL 2004), pages 334-337, 2004.



Publications using ImageCLEF data

Please feel free to send us your publications using ImageCLEF data and we will update this page:


2012

  • A. G. Seco de Herrera, D. Markonis and H. Müller, Bag-of-Colors for Biomedical Document Image Classification, MICCAI workshop MCBR-CDS, Nice, France, 2012
  • A. Ksibi, A. Ben Ammar and C. Ben Amar, Effective Concept Detection using Second order Co-occurence Flickr context Similarity Measure, CBMI, 2012
  • A. Ksibi, M. Damak, A. Ben Ammar, M. Mejdoub and C. Ben, Flickr-based Semantic Context to refine Automatic Photo Annotation, IPTTA2012, 2012
  • T. Mensink, J. Verbeek and G. Csurka, Tree-structured CRF Models for Interactive Image Labeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012
  • D. Zellhöfer, Personas - The Missing Link between User Simulations and User-Centered Design?, 10th Workshop on Adaptive Multimedia Retrieval, Copenhagen, Denmark, 2012
  • D. Zellhöfer, An Extensible Personal Photograph Collection for Graded Relevance. Assessments and user simulation, ACM International Conference on Multimedia Retrieval 2012,Hong Kong, 2012
  • M. Crespo Azcárate, J. Mata Vázquez and M. Maña López, Improving Image Retrieval Effectiveness via Query Expansion using MeSH Hierarchical Structure, Journal of the American Medical Informatics Association, 2012
  • D. Markonis, A.G. Seco de Herrera, I. Eggel and H. Müller, Multi-scale visual words for hierarchical medical image categorization, SPIE Medical Imaging 2012: Image Processing, 2012.


2011

  • T. Mensink, J. Verbeek and T. Caetano, Learning to Rank and Quadratic Assignment, NIPS Workshop on Discrete Optimization in Machine Learning, Granada, Spain, 2011
  • T. Mensink, J. Verbeek and G. Csurka, Weighted Transmedia Relevance Feedback for Image Retrieval and Auto-annotation, [Technical Report], 2011
  • U. Avni, H. Greenspan, E. Konen, M. Sharon, and J. Goldberger. X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Transanctions on Medical Imaging, 30(3), pages 733-746, 2011.
  • D. You, S. Antani, D. Demner-Fushman, V. Govindaraju, and G. R.Thoma. Detecting figure-panel labels in medical journal articles using MRF. ICDAR 2011 - Proceedings of 11th International Conference on Document Analysis and Recognition, pages 967 - 971 vol.1, 2011.
  • D. You, S. Antani, D. Demner-Fushman, M. Rahman, V. Govindaraju, and G. R. Thoma. Automatic identification of ROI in figure images toward improving hybrid (text and image) biomedical document retrieval. DDR 2011 - Proceedings of Document Recognition and Retrieval XVIII, SPIE volume 7874, 2011.
  • K. Zagoris, S. Chatzichristofis, and A. Arampatzis. Bag-of-Visual-Words vs Global Image Descriptors on Two-Stage Multimodal Retrieval. SIGIR 2011 - Proceedings of the 34rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011.
  • A. Arampatzis, K. Zagoris, and S. A. Chatzichristofis. Fusion vs Two-Stage for Multimodal Retrieval. ECIR 2011 - Advances in Information Retrieval, Proceedings of the 33rd European Conference on IR Research, LNCS 6611, pages 759-762, 2011.
  • A. Arampatzis, K. Zagoris, and S. A. Chatzichristofis. Dynamic Two-Stage Image Retrieval from Large Multimodal Databases. ECIR 2011 - Advances in Information Retrieval, Proceedings of the 33rd European Conference on IR Research, LNCS 6611, pages 326-337, 2011.
  • A. Popescu, G. Grefenstette. Social Media Driven Image Retrieval. ICMR 2011 - Proceedings of the First ACM International Conference on Multimedia Retrieval, 2011.
  • S. Clinchant, J. Ah-Pine, G. Csurka. Semantic combination of textual and visual information in multimedia retrieval. ICMR 2011 - Proceedings of the First ACM International Conference on Multimedia Retrieval, 2011.
  • G. Csurka, S. Clinchant, G. Jacquet. Medical Image Modality Classification and Retrieval. CBMI 2011 - Proceedings of the International Workshop on Content Based Multimedia Indexing, 2011.
  • T. Mensink, J. J. Verbeek, Gabriela Csurka. Learning structured prediction models for interactive image labeling. CVPR 2011 - Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011.
  • S. Skaff, D. Rouquet, E. Dellandrea, A. Falaise, V. Bellynck, H. Blanchon, C. Boitet, D. Schwab, L. Chen, A. Saidi, G. Csurka, L. Marchesotti. Multimodal Search for Graphic Designers. IVAPP 2011- International Conference on Information Visualization Theory and Applications, 2011.
  • Y. Gkoufas, A. Morou, T. Kalamboukis. Combining Textual and Visual Information for Image Retrieval in the Medical Domain. The Open Medical Informatics Journal, 5, (Suppl 1-M6), pages 50-57, 2011.
  • H. Madzin, R. Zainuddin, N. S. Mohamed. Multi-modality Medical Images Feature Analysis. BIOMED 2011 - Proceedings of the 7th International Conference on Biomedical Engineering, 2011.
  • R. Agerri, R. Granados, A. García Serrano. Enrichment of Named Entities for Image Photo Retrieval. Proceedings of the 7th International conference on Adaptive Multimedia Retrieval: understanding media and adapting to the user, LNCS 6535, pages 101-110, 2011.
  • D. Hernández Aranda, V. Fresno Fernández, R. Granados Muñoz, A. García Serrano. Evaluando Modelos de Indexación Multilingüe en Recuperación de Imágenes Basada en Texto. CAEPIA 2011 - Proceedings of the Conference of the Spanish Association for Artificial Intelligence, 2011.
  • H. J. Escalante, M. Montes, E. Sucar. Multimodal Document Indexing based on Semantic Cohesion for Image Retrieval. Information Retrieval Journal, In press, 2011.
  • H. J. Escalante, M. Montes, E. Sucar. An Energy-based Model for Region Labeling. Computer Vision and Image Understanding, 115(6), pages 787-803, 2011.
  • M. Kawanabe, A. Binder, C. Muller, W. Wojcikiewicz. Multi-modal visual concept classification of images via Markov random walk over tags, WACV 2011 - IEEE Workshop on Applications of Computer Vision, pages 396-401, 2011.
  • J. Wang, Y. Li, Y. Zhang, C. Wang, H. Xie, G. Chen, X. Gao, Bag-of-Features Based Medical Image Retrieval via Multiple Assignment and Visual Words Weighting, IEEE Transactions on Medical Imaging, 2011 (accepted).
  • J. Wang, Y. Li, Y. Zhang, H. Honglan, C. Wang. Boosted Learning of Visual Word Weighting Factors for Bag-of-Features Based Medical Image Retrieval. ICIG 2011 - Proceedings of the Sixth International Conference on Image and Graphics, pages 1035 – 1040, 2011.
  • D. Markonis, A. Depeursinge, I. Eggel, A. Foncubierta-Rodríguez and H. Müller, Accessing the medical literature with content-based visual retrieval and text retrieval techniques, RSNA Proceedings, 2011.
  • D. Buffoni, S. Tollari, P. Gallinari. A Learning to Rank framework applied to text-image retrieval, Multimedia Tools and Applications, 2011.
  • D. Buffoni, S. Tollari, P. Gallinari. The Importance of the Depth for Text-Image Selection Strategy in Learning-To-Rank. ECIR 2011 - Advances in Information Retrieval, Proceedings of the 33rd European Conference on IR Research, LNCS 6611, pages 743-746, 2011.
  • K. Sechidis, G. Tsoumakas, I. Vlahavas. On the stratification of multi-label data. ECML PKDD 2011 - Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III , pages 145-158, 2011
  • H. Le Borgne, P. Muñoz-Fuentes. NonParametric Estimation of Fisher Vectors to aggregate Image Descriptors. ACIVS 2011 - Proceedings of the Conference on Advanced Concepts for Intelligent Vision Systems , LNCS 6915, 2011
  • H. Wu, C. Tian. Thesaurus-Assistant Query Expansion for Context-based Medical Image Retrieval. PCM 2011 - Proceedings of the 12th Pacific-Rim Conference on Multimedia, 2011.

  • MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support

    • R. Donner, S. Haas, A. Burner, M. Holzer, H. Bischof, G. Langs. Evaluation of Fast 2D and 3D Medical Image Retrieval Approaches based on Image Miniatures, Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
    • S. Haas, R. Donner, A. Burner, M. Holzer, G. Langs. SuperPixel-based Interest Points for Effective Bags of Visual Words Medical Image Retrieval, Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
    • M. M. Rahman, S. K. Antani, G. R. Thoma. Biomedical Image Retrieval using Multimodal Context and Concept Feature Spaces. Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
    • O, Pauly, D. Mateus, N. Navab. Building Implicit Dictionaries based on Extreme Random Clustering for Modality Recognition. Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.
    • J. Mata, M. Crespo, M.J. Maña. Using MeSH to Expand Queries in Medical Image Retrieval. Proceedings of the MICCAI 2011 Workshop on Medical Content-based Retrieval for Clinical Decision Support, 2011.


2010

  • D. You, S. Antani, D. Demner-Fushman, M. Rahman, V. Govindaraju, and G. R. Thoma. Biomedical article retrieval using multimodal features and
    image annotations in region-based CBIR. DDR 2010 - Proceedings of Document Recognition and Retrieval XVII, SPIE volume 7534, 2010.
  • K. Zagoris, A. Arampatzis, and S. A. Chatzichristofis. www.MMRetrieval.net: A Multimodal Search Engine. SISAP 2010 - Proceedings of the 3rd International Conference on SImilarity Search and APplications, 2010.
  • T. Mensink, J. J. Verbeek, G. Csurka. Trans Media Relevance Feedback for Image Autoannotation. BMVC 2010 - Proceedings of the British Machine Vision Conference, 2010.
  • M. M. Rahman, S. K. Antani, G. R. Thoma. A Classification-Driven Similarity Matching Framework for Retrieval of Biomedical Images. MIR 2010 - Proceedings of the 11th ACM International Conference on Multimedia Information Retrieval, 2010.
  • A. Binder, W. Wojcikiewicz, C. Müller, M. Kawanabe. A Hybrid Supervised-Unsupervised Vocabulary Generation Algorithm for Visual Concept Recognition. ACCV 2010 - Proceedings of the 10th Asian Conference on Computer Vision, Revised Selected Papers, Part III, LNCS 6494, pages 95-108, 2010.
  • H. Madzin, R. Zainuddin. Shape-based Medical Image Indexing using Local Moment invariant Analysis. ISITS 2010 - Intelligent Systems and Information
    Technology Symposium, 2010.
  • J. Martinez-Gomez, B. Caputo. Towards Semi-Supervised Learning of Semantic Spatial Concepts for Mobile Robots. Journal of Physical Agents, 4(3), pages 19-31, 2010.
  • J. C. Caicedo, J. G. Moreno, E. A. Niño, F. A. González. Combining Visual Features and Text Data for Medical Image Retrieval Using Latent Semantic Kernels. MIR2010 - Proceedings of the 11th ACM SIGMM International Conference on Multimedia Information Retrieval, pages 359-366, 2010.
  • H. Le Borgne, N. Honnorat. Fast shared boosting for large-scale concept detection. Multimedia Tools and Application, Springer, 2010.
  • H. Le Borgne, N. Honnorat. Fast shared boosting: application to large-scale visual concept detection. CBMI 2010 - Proceedings of the International Workshop on Content-Based Multimedia Indexing, pages 13-18, 2010.
  • H. Wu, H. Zhang, C. Li. Medical Image Classification with Multiple Kernel Learning. ICIMCS 2010 - Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010.

  • ICPR 2010 ImageCLEF contest

    • A. Revuelta-Martínez, I. García-Varea, J. Miguel Puerta, L. Rodríguez. ISDM at ImageCLEF 2010 Fusion Task. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 109-118, 2010.
    • S. Kreft, B. Bustos. Rank-Mixer and Rank-Booster: Improving the Effectiveness of Retrieval Methods. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 119-128, 2010.
    • X. Zhou, A. Depeursinge, H. Müller. Information Fusion for Combining Visual and Textual Image Retrieval in ImageCLEF@ICPR. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 129-137, 2010.
    • I. Dimitrovski, D. Kocev, S. Loskovska, S. Dzeroski. Detection of Visual Concepts and Annotation of Images Using Ensembles of Trees for Hierarchical Multi-Label Classification. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 152-161, 2010.
    • M. Atif Tahir, F. Yan, M. Barnard, M. Awais, K. Mikolajczyk, J. Kittler. The University of Surrey Visual Concept Detection System at ImageCLEF@ICPR: Working Notes. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 162-170, 2010.
    • F. Fraundorfer, C. Wu, M. Pollefeys. Methods for Combined Monocular and Stereo Mobile Robot Localization. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 180-189, 2010.
    • M. Sjöberg, M. Koskela, V. Viitaniemi, J. Laaksonen. PicSOM Experiments in ImageCLEF RobotVision. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 190-199, 2010.
    • J. Martínez-Gómez, A. Jiménez-Picazo, J. A. Gámez, I. García-Varea. Combining Image Invariant Features and Clustering Techniques for Visual Place Classification. Recognizing Patterns in Signals, Speech, Images and Videos - ICPR 2010 Contests Reports, LNCS 6388, pages 200-209, 2010.


2009

  • D. You, E. Apostolova, S. Antani, D. Demner-Fushman, and G. R. Thoma. Figure content analysis for improved biomedical article retrieval. DDR 2009 - Proceedings of Document Recognition and Retrieval XVI, SPIE volume 7247, 2009.
  • D. Demner-Fushman, S. Antani, M. Simpson, G. R. Thoma. Annotation and retrieval of clinically relevant images. International Journal Medical Informatics, 78(12), pages 59-67, 2009.
  • J. Ah-Pine, M. Bressan, S. Clinchant, G. Csurka, Y. Hoppenot, J.-M. Renders, Crossing textual and visual content in different application scenarios. Multimedia Tools and Applications, 41(1), 2009.
  • S. Tollari, M. Detyniecki, C. Marsala, A. Fakeri-Tabrizi, M. R. Amini, P. Gallinari. Exploiting Visual Concepts to Improve Text-Based Image Retrieval. ECIR 2009 - Advances in Information Retrieval, Proceedings of the 31st European Conference on IR Research, LNCS 5468, pages 701-705, 2009.
  • H. J. Escalante, M. Montes, E. Sucar. On Multimedia Retrieval Baselines. PI 2009 - Proceedings of the VI CIMAT Workshop on Image Processing, 2009.
  • H. Madzin, R. Zainuddin. Medical Image Analysis using Local Invariant Features – Interest Points. ICSECS 2009 - Proceedings of the International Conference of Software Engineering & Computer Systems, pp 303-307, 2009.


2008

  • T. Deselaers. Image Retrieval, Object Recognition, and Discriminative Models, PhD Thesis, RWTH Aachen University, 2008.
  • M. Bressan, G. Csurka, Y. Hoppenot, J.-M. Renders. Travel Blog assistant system, VISAPP Workshop on Multimedia Mining for Image Understanding,
    2008.
  • Jayashree Kalpathy-Cramer, William Hersh, Steven Bedrick, Henning Müller. Query Analysis to Improve Medical Image Retrieval, SIIM 2008, Seattle, USA, 2008.
  • H. J. Escalante, C. Hernandez, E. Sucar, M. Montes. Late Fusion of Heterogeneous Methods for Multimedia Image Retrieval. MIR 2008 - Proceedings of the 2008 ACM Multimedia Information Retrieval Conference, pages 172-179, 2008.

  • Special Issue on Medical Image Annotation in ImageCLEF 2007

    • T. Tommasi, F. Orabona, B. Caputo. Discriminative cue integration for medical image annotation, Pattern Recognition Letters, 29(15), pages 1996-2002, 2008.
    • T. Deselaers, H. Ney. Deformations, patches, and discriminative models for automatic annotation of medical radiographs, Pattern Recognition Letters, 29(15), pages 2003-2010, 2008.
    • X. Zhou, A. Depeursinge, H. Müller. Hierarchical classification using a frequency-based weighting and simple visual features, Pattern Recognition Letters, 29(15), pages 2011-2017, 2008.
    • M. Springmann, A. Dander, H. Schuldt. Improving efficiency and effectiveness of the image distortion model, Pattern Recognition Letters, 29(15), pages 2018-2024, 2008.
    • M. O. Güld, C. Thies, B. Fischer, T. M. Deserno. A framework and baseline results for the CLEF medical automatic annotation task, Pattern Recognition Letters, 29(15), pages 2025-2031, 2008.
    • J. Kalpathy-Cramer, W. Hersh. Effectiveness of global features for automatic medical image classification and retrieval – The experiences of OHSU at ImageCLEFmed, Pattern Recognition Letters, 29(15), pages 2032-2038, 2008.
    • L. Setia, A. Teynor, A. Halawani, H. Burkhardt. Grayscale medical image annotation using local relational features, Pattern Recognition Letters, 29(15), pages 2039-2045, 2008.


2007

  • D. Keysers, T. Deselaers, C. Gollan, H. Ney. Deformation Models for Image Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2007.


2006

  • T. Deselaers, A. Hegerath, D. Keysers, H. Ney. Sparse Patch-Histograms for Object Classification in Cluttered Images. DAGM 2006 - Proceedings of the 28th Annual Symposium of the German Association for Pattern Recognition, LNCS 4174, pages 202-211, 2006.

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ImageCLEF - Cross-language image retrieval evaluations