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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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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

URL of the conference:

http://spie.org/conferences-and-exhibitions/past-events/past-conferences-and-exhibitions/past-events/electronic-imaging/electronic-imaging-2015

URL for downloading the paper:

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
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Editor
Petr Kellnhofer



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



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