Performance evaluation in content-based image retrieval: overview and proposals
Pattern Recognition Letters - Special issue on image/video indexing and retrieval
MRML: A Communication Protocol for Content-Based Image Retrieval
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Modeling, Indexing and Retrieving Images Using Conceptual Graphs
DEXA '98 Proceedings of the 9th International Conference on Database and Expert Systems Applications
Target Testing and the PicHunter Bayesian Multimedia Retrieval System
ADL '96 Proceedings of the 3rd International Forum on Research and Technology Advances in Digital Libraries
Strategies for Positive and Negative Relevance Feedback in Image Retrieval
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
| Hi-index | 0.00 |
In this article we address the problem of benchmarking image browsers. Image browsers are systems that help the user in finding an image from scratch, as opposed to query by example (QBE), where an example image is needed. The existence of different search paradigms for image browsers makes it difficult to compare image browsers. Currently, the only admissible way of evaluation is by conducting large-scale user studies. This makes it difficult to use such an evaluation as a tool for improving browsing systems. As a solution, we propose an automatic image browser benchmark that uses structured text annotation of the image collection for the simulation of the user's needs. We apply such a benchmark on an example system.