Abstract— In this work, web-based metrics for semantic similarity computation between words or terms are presented and compared with the state-of-the-art. Starting from the funda...
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
We have developed a visual syntax for representing concepts that are contingent on temporal properties (timedependent semantics). A within-group (N=24) experiment was conducted to...
Nivedita R. Kadaba, Pourang Irani, Michel Toulouse
In this paper, we present an automatic semantic video analysis system to support interdisciplinary research efforts in the field of psychology and media science. The psychological...
This paper presents an algorithm to match a semantic Web service request against semantic Web service advertisements. The algorithm is to be used by systems to discover semantic W...