Using a feature vector comprising a collection of similarity cues, Content-Based Image
Retrieval (CBIR) localizes, obtains, and displays pictures that are similar to those specified …

In this paper, we present an approach to retrieve structurally and semantically similar
images from heritage image dataset. It is an ontology-driven content-based image retrieval …

the content based image retrieval is an important research matter since people are using
and transferring more and more video and image data. Earlier the research was confined to …

A huge number of historical documents have been digitized over the last ten years.
Browsing into these collections can be done using query by keywords or query by example …

Automatic segmentation of anatomical structures in CT scans is an essential step in the
analysis of radiological patient data and is a prerequisite for largescale content-based …

At present a great deal of research is being done in different aspects of Content-Based
Image Retrieval (CBIR) of which the search engine is one of the most important elements. In …

A large amount of historical documents have been digitized over the years. Browsing into
these Cultural Heritage data can be done using query by keywords or query by example …

Uma das formas para se recuperar imagens em banco de dados, é através de consultas por
similaridade. Utilizando características extraídas dessas imagens, como cor, forma ou …