We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. Most existing concept detection systems utilize ...
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
Past research on automatic laughter detection has focused mainly on audio-based detection. Here we present an audiovisual approach to distinguishing laughter from speech and we sh...
This study aims to explore users' image seeking behaviour when searching for a known, non-annotated image in Flickling provided by iCLEF2008 track. The task assigned to users...
Evgenia Vassilakaki, Frances C. Johnson, Richard J...
This paper defines and discusses the implementation of two novel extensions to the Siena Content-based Network (CBN) to extend it to become a Knowledge-based Network (KBN) thereby...
John Keeney, Dominik Roblek, Dominic Jones, David ...