The paper proposes an approach to information retrieval based on the use of a structure (ontology) both for document (resp. query) indexing and query evaluating. The conceptual st...
We propose a method for supporting query refinement using topical term clusters. First, we propose a new term weighting method that can extract terms strongly related to a specifi...
One of the keys issues to content-based image retrieval is the similarity measurement of images. Images are represented as points in the space of low-level visual features and mos...
Document frequency is used in various applications in Information Retrieval and other related fields. An assumption frequently made is that the document frequency represents a lev...
This paper describes the process of creating a large digital archive of killer whale or orca vocalizations. The goal of the project is to digitize approximately 20000 hours of exi...
George Tzanetakis, Mathieu Lagrange, Paul Spong, H...
The automatic summarisation of sports video is of growing importance with the increased availability of on-demand content. Consumers who are unable to view events live often have ...
According to some current thinking, a very large number of semantic concepts could provide researcher a novel way to characterize video and be utilized for video retrieval and und...
Document expansion and query expansion aim to add related terms into document and query representations in order to make them more complete. However, most previous studies are lim...
Peer-to-peer network overlays have mostly been designed to support search over document names, identifiers, or keywords from a small or controlled vocabulary. In this paper we pro...
Search engines, generally, return results without any regard for the concepts in which the user is interested. In this paper, we present our approach to personalizing search engin...