Evaluation strategies for image understanding and retrieval

We address evaluation of image understanding and retrieval large scale image data in the context of three evaluation projects. The first project is a comprehensive strategy for evaluating image retrieval algorithms and provides an open reference data set for doing so. The second project develops word prediction as a semantically relevant evaluation strategy, and applies it to the evaluation of of image processing methods for semantic image analysis. The third project evaluates words for suitability of their visual properties for use in an image annotation framework. Categories and Subject Descriptors H5.1 [Information Interfaces and Presentation]: Multimedia Information Systems General Terms Algorithms, Design, Human Factors, Experimentation Keywords Evaluation, Image Retrieval, Image Recognition

• Type: Conference
• Year: 2005
• Where: MIR
• Authors: Keiji Yanai, Nikhil V. Shirahatti, Prasad Gabbur, Kobus Barnard
• Keywords: Image, Image Retrieval, Image Retrieval Algorithms, MIR 2005, Multimedia