We propose a self-organized content-based Image Retrieval Network (IRN) that is inspired by a Metric Social Network (MSN) search system. The proposed network model is strictly dat...
Stanislav Barton, Vlastislav Dohnal, Jan Sedmidubs...
Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
We present a framework and an application for semanticbased retrieval of images. Our approach adopts a two-level ontology structure in a subset of OWL-DL. In the core ontology onl...
Tommaso Di Noia, Eugenio Di Sciascio, Francesco di...
This paper presents a model for retrieval of images from a large World Wide Web based collection. Rather than considering complex visual recognition algorithms, the model presente...
The objective of this work is object retrieval in large scale image datasets, where the object is specified by an image query and retrieval should be immediate at run time in the...