@INPROCEEDINGS{1432Schmiedeke2013,
	AUTHOR = {Sebastian Schmiedeke and Pascal Kelm and and Thomas Sikora},
	TITLE = {TUB @ MediaEval 2013 Visual Privacy Task: Reversible Scrambling with colour-preservative Characteristic},
	BOOKTITLE = {Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop},
	YEAR = {2013},
	MONTH = oct,
	EDITOR = {Martha Larson, Xavier Anguera, Timo Reuter, Gareth J.F. Jones, Bogdan Ionescu, Markus Schedl, Tomas Piatrik, Claudia Hauff, Mohammad Soleymani},
	PUBLISHER = {CEUR-WS},
	PAGES = {128--129},
	ADDRESS = {Barcelona, Spain},
	NOTE = {URN: urn:nbn:de:0074-1043-4
ARCHIVE: ftp://SunSITE.Informatik.RWTH-Aachen.DE/pub/publications/CEUR-WS/Vol-1043.zip
ISSN 1613-0073},
	PDF = {http://elvera.nue.tu-berlin.de/files/1432Schmiedeke2013.pdf},
	URL = {http://elvera.nue.tu-berlin.de/files/1432Schmiedeke2013.pdf},
	ABSTRACT = {This paper describes our participation in the Visual Privacy Task of MediaEval 2013, which aims to obscure human occurrence in image sequences.
As a result the recorded person should be unrecognisable.
We use an approach which pseudo-randomly scrambles pixels within specified regions.
This technique is reversible and preserves the colour characteristic of each region. 
So, colour-based approaches will still be able to automatically distinguish between differently dressed individuals.
The evaluations of our results show that the privacy aspect got a very high score in both objective and subjective metrics. 
Our approach has a lack of intelligibility since it was  measured  by  applying  the  Histogram  of Oriented Gradients which might be fail on scrambled areas since edges are not preserved.}
}