This paper presents a novel method for detecting and localizing objects of a visual category in cluttered real-world scenes. Our approach considers object categorization and figure...
Semantic detection and recognition of objects and events contained in a video stream has to be performed in order to provide content-based annotation and retrieval of videos. This...
Lamberto Ballan, Marco Bertini, Alberto Del Bimbo,...
This paper presents a robust object tracking method via a spatial bias appearance model learned dynamically in video. Motivated by the attention shifting among local regions of a ...
Previous studies indicate that the expected effects of e-Government are slower to realize than initially expected. Several authors argue that e-Government involves particularly co...
This work addresses a problem of optimal query processing in heterogeneous and distributed multidatabase systems. The objective is to nd a method for opimization of global query p...