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An architecture for mining resources complementary to audio-visual streams

Nemrava, Jan, Buitelaar, Paul, Declerck, Thierry, Svátek, Vojtech, Petrák, Josef, Cobet, Andreas, Zeiner, Herwig, Sadlier, David A., O'Connor, Noel E. orcid logoORCID: 0000-0003-1028-8389, Simou, Nikos and Tzouvaras, Vassilis (2007) An architecture for mining resources complementary to audio-visual streams. In: KAMC 2007 - Knowledge Acquisition from Multimedia Content Workshop, 5 December 2007, Genova, Italy.

In this paper we attempt to characterize resources 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 detectors 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 resource analysis and discuss domain dependency aspects of this approach related to our domain of soccer broadcasts.
Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Additional Information:Workshop held in conjunction with SAMT 2007 - 2nd International Conference on Semantic and Digital Media Technologies, Genova, Italy, 5-7 December 2007.
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Publisher:CEUR-Workshop Proceedings
Official URL:http://sunsite.informatik.rwth-aachen.de/Publicati...
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:387
Deposited On:01 Apr 2008 by DORAS Administrator . Last Modified 08 Nov 2018 16:09

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