In this paper, we propose an approach to learning appearance models of moving objects directly from compressed video. The appearance of a moving object changes dynamically in vide...
Abstract. An ongoing project is described which seeks to add to our understanding about the real challenge of semantic image retrieval. Consideration is given to the plurality of t...
Peter G. B. Enser, Christine J. Sandom, Paul H. Le...
In this paper, we propose an alternative method for accessing the content of Greek historical documents printed during the 17th and 18th centuries by searching words directly in d...
Anastasios L. Kesidis, Eleni Galiotou, Basilios Ga...
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Enforcing protection of medical content becomes a major issue of computer security. Since medical contents are more and more widely distributed, it is necessary to develop security...