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Proceedings Article, Paper
@InProceedings
Beitrag in Tagungsband, Workshop

Author, Editor
Author(s):
Kellnhofer, Petr
Ritschel, Tobias
Myszkowski, Karol
Seidel, Hans-Peter
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Editor(s):
Rogowitz, Bernice E.
Pappas, Thrasyvoulos N.
Ridder, Huib de
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dblp
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BibTeX cite key*:
Kellnhofer2015
Title, Booktitle
Title*:
A Transformation-Aware Perceptual Image Metric
spie2015.pdf (6123.03 KB)
Booktitle*:
Proc. of SPIE-IS&T Electronic Imaging
Event, URLs
Conference URL::
http://spie.org/conferences-and-exhibitions/past-events/past-conferences-and-exhibitions/past-events/electronic-imaging/electronic-imaging-2015
Downloading URL:
http://resources.mpi-inf.mpg.de/TransformationAwareMetric/spie2015.pdf
Event Address*:
San Francisco, CA, USA
Language:
English
Event Date*
(no longer used):
Organization:
Event Start Date:
8 February 2015
Event End Date:
12 February 2015
Publisher
Name*:
SPIE
URL:
http://spie.org/
Address*:
PO Box 10, Bellingham WA 98227-0010 USA
Type:
Vol, No, Year, pp.
Series:
Human Vision and Electronic Imaging XX
Volume:
9394
Number:
Month:
April
Pages:
Year*:
2015
VG Wort Pages:
ISBN/ISSN:
9781628414844
Sequence Number:
DOI:
10.1117/12.2076754
Note, Abstract, ©
Note:
Human Vision and Electronic Imaging XX, edited by Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder,,
Proc. of SPIE-IS&T Electronic Imaging, SPIE Vol. 9394 · © 2015 SPIE-IS&T, doi: 10.1117/12.2076754
(LaTeX) Abstract:
Predicting human visual perception has several applications such as compression, rendering, editing and retargeting. Current approaches however, ignore the fact that the human visual system compensates for geometric transformations, e. g., we see that an image and a rotated copy are identical. Instead, they will report a large, false-positive difference. At the same time, if the transformations become too strong or too spatially incoherent, comparing two images indeed gets increasingly difficult. Between these two extrema, we propose a system to quantify the effect of transformations, not only on the perception of image differences, but also on saliency. To this end, we first fit local homographies to a given optical flow field and then convert this field into a field of elementary transformations such as translation, rotation, scaling, and perspective. We conduct a perceptual experiment quantifying the increase of difficulty when compensating for elementary transformations. Transformation entropy is proposed as a novel measure of complexity in a flow field. This representation is then used for applications, such as comparison of non-aligned images, where transformations cause threshold elevation, and detection of salient transformations.
URL for the Abstract:
http://resources.mpi-inf.mpg.de/TransformationAwareMetric/
Keywords:
image metric, motion, optical flow, homography, saliency
HyperLinks / References / URLs:
http://resources.mpi-inf.mpg.de/TransformationAwareMetric/
Download
Access Level:
Public

Correlation
MPG Unit:
Max-Planck-Institut für Informatik
MPG Subunit:
Computer Graphics Group
Audience:
experts only
Appearance:
MPII WWW Server, MPII FTP Server, MPG publications list, university publications list, working group publication list, Fachbeirat, VG Wort



BibTeX Entry:

@INPROCEEDINGS{Kellnhofer2015,
AUTHOR = {Kellnhofer, Petr and Ritschel, Tobias and Myszkowski, Karol and Seidel, Hans-Peter},
EDITOR = {Rogowitz, Bernice E. and Pappas, Thrasyvoulos N. and Ridder, Huib de},
TITLE = {A Transformation-Aware Perceptual Image Metric},
BOOKTITLE = {Proc. of SPIE-IS&T Electronic Imaging},
PUBLISHER = {SPIE},
YEAR = {2015},
VOLUME = {9394},
SERIES = {Human Vision and Electronic Imaging XX},
ADDRESS = {San Francisco, CA, USA},
MONTH = {April},
ISBN = {9781628414844},
DOI = {10.1117/12.2076754},
NOTE = {Human Vision and Electronic Imaging XX, edited by Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder,,
Proc. of SPIE-IS&T Electronic Imaging, SPIE Vol. 9394 · © 2015 SPIE-IS&T, doi: 10.1117/12.2076754},
}


Entry last modified by Petr Kellnhofer, 03/09/2016
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Editor(s)
Petr Kellnhofer
Created
03/09/2016 10:59:04 AM
Revision
0.



Editor
Petr Kellnhofer



Edit Date
03/09/2016 10:59:05 AM




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