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 ...
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...
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...
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
Michel Crucianu, Daniel Estevez, Vincent Oria, Jea...
Abstract. Content-based image search has long been considered a difficult task. Making correct conjectures on the user intention (perception) based on the query images is a critica...