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The Físchlár digital video recording, analysis, and browsing system

Lee, Hyowon orcid logoORCID: 0000-0003-4395-7702, Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389, O'Toole, Colin, Murphy, Noel, Marlow, Seán and O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 (2000) The Físchlár digital video recording, analysis, and browsing system. In: RIAO 2000 - Content-based Multimedia Information Access, 12-14 April 2000, Paris, France.

Abstract
In digital video indexing research area an important technique is called shot boundary detection which automatically segments long video material into camera shots using content-based analysis of video. We have been working on developing various shot boundary detection and representative frame selection techniques to automatically index encoded video stream and provide the end users with video browsing/navigation feature. In this paper we describe a demonstrator digital video system that allows the user to record a TV broadcast programme to MPEG-1 file format and to easily browse and playback the file content online. The system incorporates the shot boundary detection and representative frame selection techniques we have developed and has become a full-featured digital video system that not only demonstrates any further techniques we will develop, but also obtains users’ video browsing behaviour. At the moment the system has a real-user base of about a hundred people and we are closely monitoring how they use the video browsing/navigation feature which the system provides.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Publisher:CID Paris
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:363
Deposited On:19 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 11:39
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