Abstract is missing.
- What Happened in CLEF 2009Carol Peters. 1-12 [doi]
- Overview of iCLEF 2009: Exploring Search Behaviour in a Multilingual Folksonomy EnvironmentJulio Gonzalo, Víctor Peinado, Paul Clough, Jussi Karlgren. 13-20 [doi]
- Analysis of Multilingual Image Search Logs: Users Behavior and Search StrategiesVíctor Peinado, Fernando López-Ostenero, Julio Gonzalo. 21-28 [doi]
- User Behaviour and Lexical Ambiguity in Cross-Language Image RetrievalBorja Navarro-Colorado, Marcel Puchol-Blasco, Rafael M. Terol, Sonia Vázquez, Elena Lloret. 29-36 [doi]
- Users Image Seeking Behavior in a Multilingual Tag EnvironmentMiguel E. Ruiz, Pok Chin. 37-44 [doi]
- Diversity in Photo Retrieval: Overview of the ImageCLEFPhoto Task 2009Monica Lestari Paramita, Mark Sanderson, Paul Clough. 45-59 [doi]
- Overview of the WikipediaMM Task at ImageCLEF 2009Theodora Tsikrika, Jana Kludas. 60-71 [doi]
- Overview of the CLEF 2009 Medical Image Retrieval TrackHenning Müller, Jayashree Kalpathy-Cramer, Ivan Eggel, Steven Bedrick, Saïd Radhouani, Brian Bakke, Charles E. Kahn Jr., William R. Hersh. 72-84 [doi]
- Overview of the CLEF 2009 Medical Image Annotation TrackTatiana Tommasi, Barbara Caputo, Petra Welter, Mark Oliver Güld, Thomas Martin Deserno. 85-93 [doi]
- Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation TaskStefanie Nowak, Peter Dunker. 94-109 [doi]
- Overview of the CLEF 2009 Robot Vision TrackAndrzej Pronobis, Li Xing, Barbara Caputo. 110-119 [doi]
- Diversity Promotion: Is Reordering Top-Ranked Documents Sufficient?Sergio Navarro, Rafael Muñoz, Fernando Llopis. 120-123 [doi]
- Comparison of Several Combinations of Multimodal and Diversity Seeking Methods for Multimedia RetrievalJulien Ah-Pine, Stéphane Clinchant, Gabriela Csurka. 124-132 [doi]
- University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image RetrievalTeerapong Leelanupab, Guido Zuccon, Anuj Goyal, Martin Halvey, P. Punitha, Joemon M. Jose. 133-141 [doi]
- Multimedia Retrieval by Means of Merge of Results from Textual and Content Based Retrieval SubsystemsAna García-Serrano, Xaro Benavent, Ruben Granados, Esther de Ves, José Miguel Goñi-Menoyo. 142-149 [doi]
- Image Query Expansion Using Semantic Selectional RestrictionsOsama El Demerdash, Sabine Bergler, Leila Kosseim. 150-156 [doi]
- Clustering for Text and Image-Based Photo Retrieval at CLEF 2009Qian Zhu, Diana Inkpen. 157-163 [doi]
- Combining Text/Image in WikipediaMM Task 2009Christophe Moulin, Cécile Barat, Cédric Lemaitre, Mathias Géry, Christophe Ducottet, Christine Largeron. 164-171 [doi]
- Document Expansion for Text-Based Image Retrieval at CLEF 2009Jinming Min, Peter Wilkins, Johannes Leveling, Gareth J. F. Jones. 172-176 [doi]
- Multimodal Image Retrieval over a Large DatabaseDébora Myoupo, Adrian Popescu, Hervé Le Borgne, Pierre-Alain Moëllic. 177-184 [doi]
- Using WordNet in Multimedia Information RetrievalManuel Carlos Díaz-Galiano, Maria Teresa Martín-Valdivia, Luis Alfonso Ureña López, José M. Perea-Ortega. 185-188 [doi]
- Medical Image Retrieval: ISSR at CLEF 2009Waleed Arafa, Ragia Ibrahim. 189-194 [doi]
- An Integrated Approach for Medical Image Retrieval through Combining Textual and Visual FeaturesZheng Ye, Xiangji Huang, Qinmin Hu, Hongfei Lin. 195-202 [doi]
- Analysis Combination and Pseudo Relevance Feedback in Conceptual Language Model - LIRIS Participation at ImageCLEFMedLoïc Maisonnasse, Farah Harrathi, Catherine Roussey, Sylvie Calabretto. 203-210 [doi]
- The MedGIFT Group at ImageCLEF 2009Xin Zhou, Ivan Eggel, Henning Müller. 211-218 [doi]
- An Extended Vector Space Model for Content Based Image RetrievalTolga Berber, Adil Alpkocak. 219-222 [doi]
- Using Media Fusion and Domain Dimensions to Improve Precision in Medical Image RetrievalSaïd Radhouani, Jayashree Kalpathy-Cramer, Steven Bedrick, Brian Bakke, William R. Hersh. 223-230 [doi]
- ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label ClassificationIvica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski. 231-238 [doi]
- Dense Simple Features for Fast and Accurate Medical X-Ray AnnotationUri Avni, Hayit Greenspan, Jacob Goldberger. 239-246 [doi]
- Automated X-Ray Image Annotation - Single versus Ensemble of Support Vector MachinesDevrim Unay, Octavian Soldea, Sureyya Ozogur-Akyuz, Müjdat Çetin, Aytül Erçil. 247-254 [doi]
- Topological Localization of Mobile Robots Using Probabilistic Support Vector ClassificationYan Gao, Yiqun Li. 255-260 [doi]
- The University of Amsterdam s Concept Detection System at ImageCLEF 2009Koen E. A. van de Sande, Theo Gevers, Arnold W. M. Smeulders. 261-268 [doi]
- Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel LearningAlexander Binder, Motoaki Kawanabe. 269-276 [doi]
- Using SIFT Method for Global Topological Localization for Indoor EnvironmentsEmanuela Boros, George Rosca, Adrian Iftene. 277-282 [doi]
- UAIC at ImageCLEF 2009 Photo Annotation TaskAdrian Iftene, Loredana Vamanu, Cosmina Croitoru. 283-286 [doi]
- Learning Global and Regional Features for Photo AnnotationJiquan Ngiam, Hanlin Goh. 287-290 [doi]
- Improving Image Annotation in Imbalanced Classification Problems with Ranking SVMAli Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usunier, Patrick Gallinari. 291-294 [doi]
- University of Glasgow at ImageCLEF 2009 Robot Vision Task: A Rule Based ApproachYue Feng, Martin Halvey, Joemon M. Jose. 295-298 [doi]
- A Fast Visual Word Frequency - Inverse Image Frequency for Detector of Rare ConceptsEmilie Dumont, Hervé Glotin, Sébastien Paris, Zhong-Qiu Zhao. 299-306 [doi]
- Exploring the Semantics behind a Collection to Improve Automated Image AnnotationAinhoa Llorente, Enrico Motta, Stefan M. Rüger. 307-314 [doi]
- Multi-cue Discriminative Place RecognitionLi Xing, Andrzej Pronobis. 315-323 [doi]
- MRIM-LIG at ImageCLEF 2009: Robotvision, Image Annotation and Retrieval TasksTrong-Ton Pham, Loïc Maisonnasse, Philippe Mulhem, Jean-Pierre Chevallet, Georges Quénot, Rami Albatal. 324-331 [doi]
- The ImageCLEF Management SystemIvan Eggel, Henning Müller. 332-339 [doi]
- Interest Point and Segmentation-Based Photo AnnotationBálint Daróczy, István Petrás, András A. Benczúr, Zsolt Fekete, Dávid Márk Nemeskey, Dávid Siklósi, Zsuzsa Weiner. 340-347 [doi]
- University of Jaén at ImageCLEF 2009: Medical and Photo TasksMiguel A. García-Cumbreras, Manuel Carlos Díaz-Galiano, Maria Teresa Martín-Valdivia, Arturo Montejo Ráez, Luis Alfonso Ureña López. 348-353 [doi]
- Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content EnrichmentMartha Larson, Eamonn Newman, Gareth J. F. Jones. 354-368 [doi]
- Methods for Classifying Videos by Subject and Detecting Narrative Peak PointsTudor-Alexandru Dobrila, Mihail-Ciprian Diaconasu, Irina-Diana Lungu, Adrian Iftene. 369-372 [doi]
- Using Support Vector Machines as Learning Algorithm for Video CategorizationJosé M. Perea-Ortega, Arturo Montejo Ráez, Maria Teresa Martín-Valdivia, Luis Alfonso Ureña López. 373-376 [doi]
- Video Classification as IR Task: Experiments and ObservationsJens Kürsten, Maximilian Eibl. 377-384 [doi]
- Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form DocumentariesMartha Larson, Bart Jochems, Ewine Smits, Roeland Ordelman. 385-392 [doi]
- Identification of Narrative Peaks in Video Clips: Text Features Perform BestJoep J. M. Kierkels, Mohammad Soleymani, Thierry Pun. 393-400 [doi]
- A Cocktail Approach to the VideoCLEF 09 Linking TaskStephan Raaijmakers, Corné Versloot, Joost de Wit. 401-408 [doi]
- When to Cross Over? Cross-Language Linking Using Wikipedia for VideoCLEF 2009Ágnes Gyarmati, Gareth J. F. Jones. 409-412 [doi]