FACE LOG GENERATION FOR SUPER RESOLUTION USING LOCAL MAXIMA IN THE QUALITY CURVE

Kamal Nasrollahi, Thomas B. Moeslund

Abstract

Using faces of small sizes and low qualities in surveillance videos without utilizing some super resolution algorithms for their enhancement is almost impossible. But these algorithms themselves need some kind of assumptions like having only slight motions between low resolution observations, which is not the case in real situations. Thus a very fast and reliable method based on the face quality assessment has been proposed in this paper for choosing low resolution observations for any super resolution algorithm. The proposed method has been tested using real video sequences.

References

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Paper Citation


in Harvard Style

Nasrollahi K. and B. Moeslund T. (2010). FACE LOG GENERATION FOR SUPER RESOLUTION USING LOCAL MAXIMA IN THE QUALITY CURVE . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 124-129. DOI: 10.5220/0002846601240129


in Bibtex Style

@conference{visapp10,
author={Kamal Nasrollahi and Thomas B. Moeslund},
title={FACE LOG GENERATION FOR SUPER RESOLUTION USING LOCAL MAXIMA IN THE QUALITY CURVE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={124-129},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002846601240129},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - FACE LOG GENERATION FOR SUPER RESOLUTION USING LOCAL MAXIMA IN THE QUALITY CURVE
SN - 978-989-674-028-3
AU - Nasrollahi K.
AU - B. Moeslund T.
PY - 2010
SP - 124
EP - 129
DO - 10.5220/0002846601240129