We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
In searching a repository of business documents, a task of interest is that of using a query signature image to retrieve from a database, other signatures matching the query. The ...
Sargur N. Srihari, Shravya Shetty, Siyuan Chen, Ha...
Finding out about a topic online can be time consuming. It involves visiting multiple news sites, encyclopedia entries, video repositories and other resources while discarding irr...
Francisco Iacobelli, Kristian J. Hammond, Larry Bi...
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...