Institutions | About Us | Help | Gaeilge
rian logo

Go Back
Dublin City University video track experiments for TREC 2003
Browne, Paul; Czirjék, Csaba; Gaughan, Georgina; Gurrin, Cathal; Jones, Gareth J.F.; Lee, Hyowon; Marlow, Seán; McDonald, Kieran; Murphy, Noel; O'Connor, Noel E.; O'Hare, Neil; Smeaton, Alan F.; Ye, Jiamin
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.
Keyword(s): Digital video; Information retrieval
Publication Date:
Type: Other
Peer-Reviewed: Unknown
Language(s): English
Institution: Dublin City University
Citation(s): Browne, Paul, Czirjék, Csaba, Gaughan, Georgina, Gurrin, Cathal ORCID: 0000-0003-4395-7702 <>, Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 <>, Lee, Hyowon ORCID: 0000-0003-4395-7702 <>, Marlow, Seán, McDonald, Kieran, Murphy, Noel, O'Connor, Noel E. ORCID: 0000-0002-4033-9135 <>, O'Hare, Neil, Smeaton, Alan F. ORCID: 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.
Publisher(s): NIST
File Format(s): application/pdf
Related Link(s):
First Indexed: 2009-11-05 02:00:41 Last Updated: 2019-02-09 07:03:28