A SVD Based Image Complexity Measure

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

A SVD Based Image Complexity Measure. / Gustafsson, David Karl John; Pedersen, Kim Steenstrup; Nielsen, Mads.

VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. Bind 2 2009. s. 34-39.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Gustafsson, DKJ, Pedersen, KS & Nielsen, M 2009, A SVD Based Image Complexity Measure. i VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. bind 2, s. 34-39, 4th International Conference on Computer Vision Theory and Applications (VISAPP 09), Lissabon, Portugal, 05/02/2009.

APA

Gustafsson, D. K. J., Pedersen, K. S., & Nielsen, M. (2009). A SVD Based Image Complexity Measure. I VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS (Bind 2, s. 34-39)

Vancouver

Gustafsson DKJ, Pedersen KS, Nielsen M. A SVD Based Image Complexity Measure. I VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. Bind 2. 2009. s. 34-39

Author

Gustafsson, David Karl John ; Pedersen, Kim Steenstrup ; Nielsen, Mads. / A SVD Based Image Complexity Measure. VISAPP 2009: PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS. Bind 2 2009. s. 34-39

Bibtex

@inproceedings{3e49aca0cd0111dd9473000ea68e967b,
title = "A SVD Based Image Complexity Measure",
abstract = "Images are composed of geometric structures and texture, and different image processing tools - such as denoising, segmentation and registration - are suitable for different types of image contents. Characterization of the image content in terms of geometric structure and texture is an important problem that one is often faced with. We propose a patch based complexity measure, based on how well the patch can be approximated using singular value decomposition. As such the image complexity is determined by the complexity of the patches. The concept is demonstrated on sequences from the newly collected DIKU Multi-Scale image database.",
author = "Gustafsson, {David Karl John} and Pedersen, {Kim Steenstrup} and Mads Nielsen",
year = "2009",
language = "English",
isbn = "978-989-8111-69-2",
volume = "2",
pages = "34--39",
booktitle = "VISAPP 2009",
note = "null ; Conference date: 05-02-2009 Through 08-02-2009",

}

RIS

TY - GEN

T1 - A SVD Based Image Complexity Measure

AU - Gustafsson, David Karl John

AU - Pedersen, Kim Steenstrup

AU - Nielsen, Mads

N1 - Conference code: 4

PY - 2009

Y1 - 2009

N2 - Images are composed of geometric structures and texture, and different image processing tools - such as denoising, segmentation and registration - are suitable for different types of image contents. Characterization of the image content in terms of geometric structure and texture is an important problem that one is often faced with. We propose a patch based complexity measure, based on how well the patch can be approximated using singular value decomposition. As such the image complexity is determined by the complexity of the patches. The concept is demonstrated on sequences from the newly collected DIKU Multi-Scale image database.

AB - Images are composed of geometric structures and texture, and different image processing tools - such as denoising, segmentation and registration - are suitable for different types of image contents. Characterization of the image content in terms of geometric structure and texture is an important problem that one is often faced with. We propose a patch based complexity measure, based on how well the patch can be approximated using singular value decomposition. As such the image complexity is determined by the complexity of the patches. The concept is demonstrated on sequences from the newly collected DIKU Multi-Scale image database.

M3 - Article in proceedings

SN - 978-989-8111-69-2

VL - 2

SP - 34

EP - 39

BT - VISAPP 2009

Y2 - 5 February 2009 through 8 February 2009

ER -

ID: 9225418