Until recently, issues in image retrieval have been handled in DBMSs and in computer vision as separate research works. Nowadays, the trend is towards integrating the two approach...
Solomon Atnafu, Richard Chbeir, David Coquil, Lion...
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...
With recent advances in temporal and spatiotemporal databases, user demands are becoming more complex. As a result, simple queries are replaced by complex multitemporal query scen...
Giorgos Mountrakis, Peggy Agouris, Anthony Stefani...
In this paper, a novel method of relevance feedback is presented based on Support Vector Machine learning in the content-based image retrieval system. A SVM classifier can be lear...
Abstract. The increase in accessability to on-line visual data has promoted the interest in browsing and retrieval of images from Image Databases. Current approaches assume either ...