Multilingual Information Access Evaluation II. Multimedia Experiments: 10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers

Front Matter....Pages -
What Happened in CLEF 2009....Pages 1-12
Overview of iCLEF 2009: Exploring Search Behaviour in a Multilingual Folksonomy Environment....Pages 13-20
Analysis of Multilingual Image Search Logs: Users’ Behavior and Search Strategies....Pages 21-28
User Behaviour and Lexical Ambiguity in Cross-Language Image Retrieval....Pages 29-36
Users’ Image Seeking Behavior in a Multilingual Tag Environment....Pages 37-44
Diversity in Photo Retrieval: Overview of the ImageCLEFPhoto Task 2009....Pages 45-59
Overview of the WikipediaMM Task at ImageCLEF 2009....Pages 60-71
Overview of the CLEF 2009 Medical Image Retrieval Track....Pages 72-84
Overview of the CLEF 2009 Medical Image Annotation Track....Pages 85-93
Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation Task....Pages 94-109
Overview of the CLEF 2009 Robot Vision Track....Pages 110-119
Diversity Promotion: Is Reordering Top-Ranked Documents Sufficient?....Pages 120-123
Comparison of Several Combinations of Multimodal and Diversity Seeking Methods for Multimedia Retrieval....Pages 124-132
University of Glasgow at ImageCLEFPhoto 2009: Optimising Similarity and Diversity in Image Retrieval....Pages 133-141
Multimedia Retrieval by Means of Merge of Results from Textual and Content Based Retrieval Subsystems....Pages 142-149
Image Query Expansion Using Semantic Selectional Restrictions....Pages 150-156
Clustering for Text and Image-Based Photo Retrieval at CLEF 2009....Pages 157-163
Combining Text/Image in WikipediaMM Task 2009....Pages 164-171
Document Expansion for Text-Based Image Retrieval at CLEF 2009....Pages 172-176
Multimodal Image Retrieval over a Large Database....Pages 177-184
Using WordNet in Multimedia Information Retrieval....Pages 185-188
Medical Image Retrieval: ISSR at CLEF 2009....Pages 189-194
An Integrated Approach for Medical Image Retrieval through Combining Textual and Visual Features....Pages 195-202
Analysis Combination and Pseudo Relevance Feedback in Conceptual Language Model....Pages 203-210
The MedGIFT Group at ImageCLEF 2009....Pages 211-218
An Extended Vector Space Model for Content Based Image Retrieval....Pages 219-222
Using Media Fusion and Domain Dimensions to Improve Precision in Medical Image Retrieval....Pages 223-230
ImageCLEF 2009 Medical Image Annotation Task: PCTs for Hierarchical Multi-Label Classification....Pages 231-238
Dense Simple Features for Fast and Accurate Medical X-Ray Annotation....Pages 239-246
Automated X-Ray Image Annotation....Pages 247-254
Topological Localization of Mobile Robots Using Probabilistic Support Vector Classification....Pages 255-260
The University of Amsterdam’s Concept Detection System at ImageCLEF 2009....Pages 261-268
Enhancing Recognition of Visual Concepts with Primitive Color Histograms via Non-sparse Multiple Kernel Learning....Pages 269-276
Using SIFT Method for Global Topological Localization for Indoor Environments....Pages 277-282
UAIC at ImageCLEF 2009 Photo Annotation Task....Pages 283-286
Learning Global and Regional Features for Photo Annotation....Pages 287-290
Improving Image Annotation in Imbalanced Classification Problems with Ranking SVM....Pages 291-294
University of Glasgow at ImageCLEF 2009 Robot Vision Task: A Rule Based Approach....Pages 295-298
A Fast Visual Word Frequency - Inverse Image Frequency for Detector of Rare Concepts....Pages 299-306
Exploring the Semantics behind a Collection to Improve Automated Image Annotation....Pages 307-314
Multi-cue Discriminative Place Recognition....Pages 315-323
MRIM-LIG at ImageCLEF 2009: Robotvision, Image Annotation and Retrieval Tasks....Pages 324-331
The ImageCLEF Management System....Pages 332-339
Interest Point and Segmentation-Based Photo Annotation....Pages 340-347
University of Jaén at ImageCLEF 2009: Medical and Photo Tasks....Pages 348-353
Overview of VideoCLEF 2009: New Perspectives on Speech-Based Multimedia Content Enrichment....Pages 354-368
Methods for Classifying Videos by Subject and Detecting Narrative Peak Points....Pages 369-372
Using Support Vector Machines as Learning Algorithm for Video Categorization....Pages 373-376
Video Classification as IR Task: Experiments and Observations....Pages 377-384
Exploiting Speech Recognition Transcripts for Narrative Peak Detection in Short-Form Documentaries....Pages 385-392
Identification of Narrative Peaks in Video Clips: Text Features Perform Best....Pages 393-400
A Cocktail Approach to the VideoCLEF’09 Linking Task....Pages 401-408
When to Cross Over? Cross-Language Linking Using Wikipedia for VideoCLEF 2009....Pages 409-412
Back Matter....Pages -