We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
In this paper, we present the results of our work that seeks to negotiate the gap between low-level features and highlevel concepts in the domain of video shot detection. We intro...
Content based retrieval of similar multimedia objects (e.g. images, text, and videos) is an important research issue in the field of multimedia database. In this demo, we present ...
Raster maps are widely available and contain useful geographic features such as labels and road lines. To extract the geographic features, most research work relies on a manual st...
Among the various types of semantic concepts modeled, events pose the greatest challenge in terms of computational power needed to represent the event and accuracy that can be ach...