Type

Conference Proceedings

Authors

Alan F. Smeaton
Cathal Gurrin
Zhenxing Zhang

Subjects

Computer Science

Topics
image processing digital video video retrieval semantic concepts large scale retrieval video browsing image retrieval interactive computer systems

Faceted navigation for browsing large video collection (2016)

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.
Collections Ireland -> Dublin City University -> Publication Type = Conference or Workshop Item
Ireland -> Dublin City University -> Subject = Computer Science: Interactive computer systems
Ireland -> Dublin City University -> Subject = Computer Science: Image processing
Ireland -> Dublin City University -> Status = Published
Ireland -> Dublin City University -> Subject = Computer Science: Digital video
Ireland -> Dublin City University -> DCU Faculties and Centres = Research Initiatives and Centres: INSIGHT Centre for Data Analytics

Full list of authors on original publication

Alan F. Smeaton, Cathal Gurrin, Zhenxing Zhang

Experts in our system

1
Alan F. Smeaton
Dublin City University
Total Publications: 450
 
2
Cathal Gurrin
Dublin City University
Total Publications: 182
 
3
Zhenxing Zhang
Dublin City University
Total Publications: 11