Dublin City University video track experiments for TREC 2003
Browne, Paul and Czirjek, Csaba and Gaughan, Georgina and Gurrin, Cathal and Jones, Gareth J.F. and Lee, Hyowon and Marlow, Seán and McDonald, Kieran and Murphy, Noel and O'Connor, Noel E. and O'Hare, Neil and Smeaton, Alan F. and Ye, Jiamin (2003) Dublin City University video track experiments for TREC 2003. In: TRECVID 2003 - Text REtrieval Conference TRECVID Workshop, 17-18 November 2003, Gaithersburg, Maryland.
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In this paper, we describe our experiments for both the News Story Segmentation task and Interactive Search task for
TRECVID 2003. Our News Story Segmentation task involved the use of a Support Vector Machine (SVM) to combine evidence from audio-visual analysis tools in order to generate a listing of news stories from a given news programme. Our
Search task experiment compared a video retrieval system based on text, image and relevance feedback with a text-only
video retrieval system in order to identify which was more effective. In order to do so we developed two variations of our Físchlár video retrieval system and conducted user testing in a controlled lab environment. In this paper we outline our work on both of these two tasks.
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