A web-based evaluation system for CBIR
MULTIMEDIA '01 Proceedings of the 2001 ACM workshops on Multimedia: multimedia information retrieval
A Framework for Benchmarking in CBIR
Multimedia Tools and Applications
Evaluating the Effectiveness and the Efficiency of a Vector Image Search Tool
Proceedings of the Symposium on Human Interface 2009 on Human Interface and the Management of Information. Information and Interaction. Part II: Held as part of HCI International 2009
VISTO: A new CBIR system for vector images
Information Systems
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Content-based image retrieval (CBIR) is a new but in recent years widely-adopted method for finding images from vast and unannotated image databases. CBIR is a technique for querying images on the basis of automatically-derived features such as color, texture, and shape directly from the visual content of images. For the development of effective image retrieval applications, one of the most urgent issues is to have widely-accepted performance assessment methods for different features and approaches. In this paper, we present methods for evaluating the retrieval performance of different features and existing CBIR systems. In addition, we present a set of retrieval performance experiments carried out with an experimental image retrieval system and a large database of images from a widely-available commercial image collection.