K-Space at TRECVid 2006
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Wilkins and T. Adamek and P. Ferguson and M. Hughes and G. J. F. Jones
and G. Keenan and K. McGuinness and J. Malobabic and N. E. O‘Connor
and D. Sadlier and A. F. Smeaton and R. Benmokhtar and E. Dumont and
B. Huet and B. Merialdo and E. Spyrou and G. Koumoulos and Y. Avrithis
and R. Moerzinger and P. Schallauer and W. Bailer and Q. Zhang and T.
Piatrik and K. Chandramouli and E. Izquierdo and Lutz Goldmann and
Martin Haller and Thomas. Sikora and P. Praks and J. Urban and X.
Hilaire and J. M. Jose
|Title of Book
||Proceedings of the TRECVid Workshop
||Gaithersburg, Maryland, USA
paper we describe the K-Space participation in TRECVid 2006. K-Space
participated in two tasks, high-level feature extraction and search.
We present our approaches for each of these activities and provide a
brief analysis of our results. Our high-level feature submission made
use of support vector machines (SVMs) created with low-level MPEG-7
visual features, fused with specific concept detectors. Search
submissions were both manual and automatic and made use of both low-
and high-level features. In the high-level feature extraction
submission, four of our six runs achieved performance above the
TRECVid median, whilst our search submission performed around the
median. The K-Space team consisted of eight partner institutions from
the EU-funded K-Space Network, and our submissions made use of tools
and techniques from each partner. As such this paper will provide
overviews of each partner’s contributions and provide appropriate
references for specific descriptions of individual components.