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Dublin City University video track experiments for TREC 2003

Browne, Paul, Czirjék, Csaba, Gaughan, Georgina, Gurrin, Cathal orcid logoORCID: 0000-0003-4395-7702, Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365, Lee, Hyowon orcid logoORCID: 0000-0003-4395-7702, Marlow, Seán, McDonald, Kieran, Murphy, Noel, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135, O'Hare, Neil, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 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.

Abstract
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.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Publisher:NIST
Official URL:http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs....
Copyright Information:© 2003 The Authors.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:EU IST-2000-32795, Enterprise Ireland
ID Code:434
Deposited On:10 Apr 2008 by DORAS Administrator . Last Modified 20 Feb 2023 13:46
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