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Faceted navigation for browsing large video collection

Zhang, Zhenxing, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2016) Faceted navigation for browsing large video collection. In: The 22nd International Conference on Multimedia Modeling, 4-6 Jan 2016, Miami, FL.. ISBN 978-3-319-27673-1

Abstract
This paper presents a content-based interactive video brows- ing system to address the challenge in a live video search competition to find specific video clips from a large video collection under time constraints. Since the target of this evaluation forum is to evaluate and demonstrate the development of interactive video search tools, we do not need to consider if the most commonly used query-by-example or query-by-text approaches for large-scale image/video retrieval are appropriate in this scenario. In this paper, we describe an interactive video retrieval system which employs the concept filters and faceted navigation to aid users quickly and intuitively locate the interested content when browsing in large video collections based on automatically extracted semantic concepts, object labels and attributes from video content.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Interactive computer systems
Computer Science > Digital video
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of MMM 2016 - The 22nd International Conference on Multimedia Modeling. Lecture Notes in Computer Science 9517. Springer. ISBN 978-3-319-27673-1
Publisher:Springer
Copyright Information:© 2016 Springer The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:21013
Deposited On:13 Jan 2016 11:49 by Zhenxing Zhang . Last Modified 15 Dec 2021 16:16
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