Schmiedeke, Sebastian, Xu, Peng, Ferrané, Isabelle, Eskevich, Maria ORCID: 0000-0002-1242-0753, Kofler, Christoph, Larson, Martha, Estève, Yannick, Lamel, Lori, Jones, Gareth J.F. ORCID: 0000-0003-2923-8365 and Sikora, Thomas (2013) Blip10000: a social video dataset containing SPUG content for tagging and retrieval. In: ACM Multimedia Systems Conference (MMSys 2013), 27 Feb - 1 Mar 2013, Oslo, Norway. ISBN 978-1-4503-1894-5/13/02
Abstract
The increasing amount of digital multimedia content available is inspiring potential new types of user interaction with video data. Users want to easilyfind the content by searching and browsing. For this reason, techniques are needed that allow automatic categorisation, searching the content and linking to related information.
In this work, we present a dataset that contains comprehensive semi-professional user generated (SPUG) content, including audiovisual content, user-contributed metadata, automatic speech recognition transcripts, automatic shot boundary les, and social information for multiple `social levels'. We describe the principal characteristics of this dataset and present results that have been achieved on different tasks.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | Dataset; SPUG Content; Video Tagging; Speech Retrieval |
Subjects: | Computer Science > Information storage and retrieval systems Computer Science > Multimedia systems Computer Science > Information retrieval |
DCU Faculties and Centres: | Research Initiatives and Centres > Centre for Next Generation Localisation (CNGL) DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Published in: | Proceedings of ACM Multimedia Systems Conference (MMSys 2013). . ACM. ISBN 978-1-4503-1894-5/13/02 |
Publisher: | ACM |
Official URL: | http://www.mmsys.org/?q=node/68 |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
ID Code: | 17922 |
Deposited On: | 18 Apr 2013 12:48 by Gareth Jones . Last Modified 10 Oct 2018 09:18 |
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