Content-based image retrieval (CBIR) systems target database images using feature similarities with respect to the query. Our CBIR demonstration utilises novel illumination invari...
In order to bridge the “Semantic gap”, a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques i...
Haiming Liu 0002, Victoria S. Uren, Dawei Song, St...
Content-Based Image Retrieval (CBIR) presents several challenges and has been subject to extensive research from many domains, such as image processing or database systems. Databa...
Ricardo da Silva Torres, Celmar G. Silva, Claudia ...
Large efforts have been made for general applications of content-based image retrieval (CBIR). Established CBIRsystems globally evaluate color, texture, and also shape for retriev...
Thomas Martin Lehmann, Berthold B. Wein, Daniel Ke...
Relevance feedback has been proposed as an important technique to boost the retrieval performance in content-based image retrieval (CBIR). However, since there exists a semantic g...