Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

Video retrieval using dialogue, keyframe similarity and video objects

Browne, Paul and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2005) Video retrieval using dialogue, keyframe similarity and video objects. In: ICIP 2005 - International Conference on Image Processing, 11-14 September 2005, Genova, Italy.

There are several different approaches to video retrieval which vary in sophistication, and in the level of their deployment. Some are well-known, others are not yet within our reach for any kind of large volumes of video. In particular, object-based video retrieval, where an object from within a video is used for retrieval, is often particularly desirable from a searcher's perspective. In this paper we introduce Fischlar-Simpsons, a system providing retrieval from an archive of video using any combination of text searching, keyframe image matching, shot-level browsing, as well as object-based retrieval. The system is driven by user feedback and interaction rather than having the conventional search/browse/search metaphor and the purpose of the system is to explore how users can use detected objects in a shot as part of a retrieval task.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image matching; image retrieval; video signal processing;
Subjects:Engineering > Signal processing
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Research Institutes and Centres > Adaptive Information Cluster (AIC)
Publisher:Institute of Electrical and Electronics Engineers
Official URL:http://dx.doi.org/10.1109/ICIP.2005.1530615
Copyright Information:Copyright © 2005 IEEE. Reprinted from ICIP 2005 - International Conference on Image Processing. 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:Enterprise Ireland, Science Foundation Ireland, SFI 03/IN.3/I361
ID Code:236
Deposited On:06 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 10:59

Full text available as:

[thumbnail of ieee_icip_2005.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record