A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a vocabula...
Nikhil Rasiwasia, Nuno Vasconcelos, Pedro J. Moren...
With the advances in digital imagery, large accessible data storage, internet repositories, and image applications, information conveyed through images is gaining in importance. T...
The need for systems that can stock, represent, and provide efficient retrieval facilities of images of particular interest is becoming very high in medicine. In this respect, a l...
Background: Identifying relevant research in an ever-growing body of published literature is becoming increasingly difficult. Establishing domain-specific knowledge bases may be a...
Content-based image retrieval uses features that can be extracted from the images themselves. Using more than one representation of the images in a collection can improve the resu...