Current image retrieval systems do not provide users with adequate interfaces able to reduce the semantic gap existing between the high-level semantics of images (as perceived by t...
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: for a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
This paper presents a new method for image retrieval using a graph object oriented database for processing the information extracted from the image through the segmentation process...