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Físchlár-TRECVid2004: Combined text- and image-based searching of video archives

O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135, Lee, Hyowon orcid logoORCID: 0000-0003-4395-7702, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365, Cooke, Eddie and Le Borgne, Hervé (2006) Físchlár-TRECVid2004: Combined text- and image-based searching of video archives. In: ISCAS 2006 - IEEE International Symposium on Circuits and Systems, 21-24 May 2006, Kos, Greece.

Abstract
The Fischlar-TRECVid-2004 system was developed for Dublin City University's participation in the 2004 TRECVid video information retrieval benchmarking activity. The system allows search and retrieval of video shots from over 60 hours of content. The shot retrieval engine employed is based on a combination of query text matched against spoken dialogue combined with image-image matching where a still image (sourced externally), or a keyframe (from within the video archive itself), is matched against all keyframes in the video archive. Three separate text retrieval engines are employed for closed caption text, automatic speech recognition and video OCR. Visual shot matching is primarily based on MPEG-7 low-level descriptors. The system supports relevance feedback at the shot level enabling augmentation and refinement using relevant shots located by the user. Two variants of the system were developed, one that supports both text- and image-based searching and one that supports image only search. A user evaluation experiment compared the use of the two systems. Results show that while the system combining text- and image-based searching achieves greater retrieval effectiveness, users make more varied and extensive queries with the image only based searching version.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:relevance feedback; search engines; video retrieval;
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/ISCAS.2006.1693029
Copyright Information:Copyright © 2006 IEEE. Reprinted from ISCAS 2006 - IEEE International Symposium on Circuits and Systems. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Dublin City University's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Funders:Science Foundation Ireland, SFI 03/IN.3/I361, Enterprise Ireland, European Commission FP6-001765
ID Code:231
Deposited On:05 Mar 2008 by DORAS Administrator . Last Modified 25 Oct 2018 12:57
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