We study the task of detecting the occurrence of objects in large image collections or in videos, a problem that combines aspects of content based image retrieval and object locali...
Protein subcellular locations, as an important property of proteins, are commonly learned using fluorescence microscopy. Previous work by our group has shown that automated analys...
Large efforts have been made for general applications of content-based image retrieval (CBIR). Established CBIRsystems globally evaluate color, texture, and also shape for retriev...
Thomas Martin Lehmann, Berthold B. Wein, Daniel Ke...
In this paper the development of an intelligent image content-based search engine for the World Wide Web is presented. Information Web Crawlers continuously traverse the Internet ...
Ioannis Kompatsiaris, Evangelia Triantafyllou, Mic...
In this paper we present WINDSURF (Wavelet-Based Indexing of Images Using Region Fragmentation), a new approach to content-based image retrieval. The method uses the wavelet trans...
Stefania Ardizzoni, Ilaria Bartolini, Marco Patell...