Multilingual Information Access Evaluation II

Domain Dimensions to Improve Precision in Medical Image Retrieval.- ImageCLEFmed Annotation.- ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification.- Dense Simple Features for Fast and Accurate Medical X-Ray Annotation.- Automated X-Ray Image Annotation.- ImageCLEF Annotation and Robot Vision.- Topological Localization of Mobile Robots Using Probabilistic Support Vector Classification.- The University of Amsterdam's Concept Detection System at ImageCLEF 2009.- Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning.- Using SIFT Method for Global Topological Localization for Indoor Environments.- UAIC at ImageCLEF 2009 Photo Annotation Task.- Learning Global and Regional Features for Photo Annotation.- Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM.- University of Glasgow at ImageCLEF 2009 Robot Vision Task: A Rule Based Approach.- A Fast Visual Word Frequency - Inverse Image Frequency for Detector of Rare Concepts.- Exploring the Semantics behind a Collection to Improve Automated Image Annotation.- Multi-cue Discriminative Place Recognition.- MRIM-LIG at ImageCLEF 2009: Robotvision, Image Annotation and Retrieval Tasks.- ImageCLEF Mixed.- The ImageCLEF Management System.- Interest Point and Segmentation-Based Photo Annotation.- University of Jaén at ImageCLEF 2009: Medical and Photo Tasks.- III: Cross-Language Retrieval in Video Collections (VideoCLEF).- Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment.- Methods for Classifying Videos by Subject and Detecting Narrative Peak Points.- Using Support Vector Machines as Learning Algorithm for Video Categorization.- Video Classification as IR Task: Experiments and Observations.- Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries.- Identification of Narrative Peaks in Video Clips: Text Features Perform Best.- A Cocktail Approach to the VideoCLEF'09 Linking Task.- When to Cross Over? Cross-Language Linking Using Wikipedia for VideoCLEF 2009.