In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
Abstract. This paper investigates the applicability of high-level semantic features for video retrieval using the benchmarked data from TRECVID 2003 and 2004, addressing the contri...
Template-driven HTML documents posses an implicit, fixed schema denoting concepts and their relationships in a hierarchical fashion. Discovering this schema remains a relatively ...
Saikat Mukherjee, Guizhen Yang, Wenfang Tan, I. V....
We present a data and error analysis for semantic role labelling. In a first experiment, we build a generic statistical model for semantic role assignment in the FrameNet paradigm...
Effective usage of multimedia digital libraries has to deal with the problem of building efficient content annotation and retrieval tools. In this paper Multimedia Ontologies, th...
Andrew D. Bagdanov, Marco Bertini, Alberto Del Bim...