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Architecture for enhancing video analysis results using complementary resources

Nemrava, Jan, Buitelaar, Paul, Declerck, Thierry, Svátek, Vojtech, Petrák, Josef, Cobet, Andreas, Zeiner, Herwig, Sadlier, David A. and O'Connor, Noel E. orcid logoORCID: 0000-0003-1028-8389 (2007) Architecture for enhancing video analysis results using complementary resources. In: SAMT 2007 - 2nd International Conference on Semantic and Digital Media Technologies, December 5-7, 2007, Genoa, Italy.

Abstract
In this paper we present different sources of information complementary to audio-visual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video analysis and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events in video. We introduce an architecture for complementary resources analysis and discuss domain dependency aspects of this approach connected to our initial domain of soccer broadcasts.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:Multimedia databases; Text processing;
Subjects:Computer Science > Information storage and retrieval systems
Computer Science > Digital video
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Publisher:CEUR-Workshop Proceedings
Official URL:http://ftp.informatik.rwth-aachen.de/Publications/...
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Commission FP6-027026
ID Code:306
Deposited On:12 Mar 2008 by DORAS Administrator . Last Modified 08 Nov 2018 16:09
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