ImageCLEF Experimental Evaluation in Visual Information Retrieval /
The creation and consumption of content, especially visual content, is ingrained into our modern world. This book contains a collection of texts centered on the evaluation of image retrieval systems. To enable reproducible evaluation we must create standardized benchmarks and evaluation methodologie...
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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Edición: | 1st ed. 2010. |
Colección: | The Information Retrieval Series,
32 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Seven Years of Image Retrieval Evaluation
- Data Sets Created in ImageCLEF
- Creating Realistic Topics for Image Retrieval Evaluation
- Relevance Judgments for Image Retrieval Evaluation
- Performance Measures Used in Image Information Retrieval
- Fusion Techniques for Combining Textual and Visual Information Retrieval
- Track Reports
- Interactive Image Retrieval
- Photographic Image Retrieval
- The Wikipedia Image Retrieval Task
- The Robot Vision Task
- Object and Concept Recognition for Image Retrieval
- The Medical Image Classification Task
- The Medical Image Retrieval Task
- Participant reports
- Expansion and Re-ranking Approaches for Multimodal Image Retrieval using Text-based Methods
- Revisiting Sub-topic Retrieval in the ImageCLEF 2009 Photo Retrieval Task
- Knowledge Integration using Textual Information for Improving ImageCLEF Collections
- Leveraging Image, Text and Cross-media Similarities for Diversity-focused Multimedia Retrieval
- University of Amsterdam at the Visual Concept Detection and Annotation Tasks
- Intermedia Conceptual Indexing
- Conceptual Indexing Contribution to ImageCLEF Medical Retrieval Tasks
- Improving Early Precision in the ImageCLEF Medical Retrieval Task
- Lung Nodule Detection
- Medical Image Classification at Tel Aviv and Bar Ilan Universities
- Idiap on Medical Image Classification
- External views
- Press Association Images - Image Retrieval Challenges
- Image Retrieval in a Commercial Setting
- An Overview of Evaluation Campaigns in Multimedia Retrieval.