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...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Müller, Henning (Editor), Clough, Paul (Editor), Deselaers, Thomas (Editor), Caputo, Barbara (Editor)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Series:The Information Retrieval Series, 32
Subjects:
Online Access:Full Text via HEAL-Link
Table of Contents:
  • 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.