In this paper we propose a technique for segmenting images by texture content with application to indexing images in a large image database. Using a quad-tree decomposition, textu...
We exploit the retrieval of visual information from biomedical scientific publication databases. Therefore, we consider the use of domain specific genres to automatically subdiv...
Jan-Mark Geusebroek, Minh Anh Hoang, Jan van Gemer...
So far, most image mining was based on interactive querying. Although
such querying will remain important in the future, several
applications need image mining at such wide scale...
Luc J. Van Gool, Michael D. Breitenstein, Stephan ...
Without textual descriptions or label information of images, searching semantic concepts in image databases is still a very challenging task. While automatic annotation techniques...
It is natural in a visual search to look at any object that is similar to the target so that it can be recognised and a decision made to end the search. Eye tracking technology of...
Todays abundance of storage coupled with digital technologies in virtually any scientific or commercial application such as medical and biological imaging or music archives deal w...
Fast image retrieval is the key to success for operations on large image databases, and a great many techniques have been developed for efficient retrieval. However, most of these...
Relevance feedback is an attractive approach to developing flexible metrics for content-based retrieval in image and video databases. Large image databases require an index struct...