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A parametric spectral model for texture-based salience

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Standard

A parametric spectral model for texture-based salience. / Terzić, Kasim; Krishna, Sai; Du Buf, J. M.H.

Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings. ed. / Juergen Gall; Peter Gehler; Bastian Leibe. Cham : Springer, 2015. p. 331-342 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9358).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Harvard

Terzić, K, Krishna, S & Du Buf, JMH 2015, A parametric spectral model for texture-based salience. in J Gall, P Gehler & B Leibe (eds), Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9358, Springer, Cham, pp. 331-342, 37th German Conference on Pattern Recognition, GCPR 2015, Aachen, Germany, 7/10/15. https://doi.org/10.1007/978-3-319-24947-6_27

APA

Terzić, K., Krishna, S., & Du Buf, J. M. H. (2015). A parametric spectral model for texture-based salience. In J. Gall, P. Gehler, & B. Leibe (Eds.), Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings (pp. 331-342). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9358). Springer. https://doi.org/10.1007/978-3-319-24947-6_27

Vancouver

Terzić K, Krishna S, Du Buf JMH. A parametric spectral model for texture-based salience. In Gall J, Gehler P, Leibe B, editors, Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings. Cham: Springer. 2015. p. 331-342. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-24947-6_27

Author

Terzić, Kasim ; Krishna, Sai ; Du Buf, J. M.H. / A parametric spectral model for texture-based salience. Pattern Recognition : 37th German Conference, GCPR 2015, Aachen, Germany, October 7-10, 2015, Proceedings. editor / Juergen Gall ; Peter Gehler ; Bastian Leibe. Cham : Springer, 2015. pp. 331-342 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Bibtex - Download

@inproceedings{d19955defbce4b83bbf8d88bde7d9c65,
title = "A parametric spectral model for texture-based salience",
abstract = "We present a novel saliency mechanism based on texture. Local texture at each pixel is characterised by the 2D spectrum obtained from oriented Gabor filters. We then apply a parametric model and describe the texture at each pixel by a combination of two 1D Gaussian approximations. This results in a simple model which consists of only four parameters. These four parameters are then used as feature channels and standard Difference-of-Gaussian blob detection is applied in order to detect salient areas in the image, similar to the Itti and Koch model. Finally, a diffusion process is used to sharpen the resulting regions. Evaluation on a large saliency dataset shows a significant improvement of our method over the baseline Itti and Koch model.",
author = "Kasim Terzi{\'c} and Sai Krishna and {Du Buf}, {J. M.H.}",
year = "2015",
doi = "10.1007/978-3-319-24947-6_27",
language = "English",
isbn = "9783319249469",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "331--342",
editor = "Juergen Gall and Peter Gehler and Bastian Leibe",
booktitle = "Pattern Recognition",
address = "Netherlands",
note = "37th German Conference on Pattern Recognition, GCPR 2015, GCPR ; Conference date: 07-10-2015 Through 10-10-2015",
url = "http://gcpr2015.rwth-aachen.de/",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - A parametric spectral model for texture-based salience

AU - Terzić, Kasim

AU - Krishna, Sai

AU - Du Buf, J. M.H.

N1 - Conference code: 37

PY - 2015

Y1 - 2015

N2 - We present a novel saliency mechanism based on texture. Local texture at each pixel is characterised by the 2D spectrum obtained from oriented Gabor filters. We then apply a parametric model and describe the texture at each pixel by a combination of two 1D Gaussian approximations. This results in a simple model which consists of only four parameters. These four parameters are then used as feature channels and standard Difference-of-Gaussian blob detection is applied in order to detect salient areas in the image, similar to the Itti and Koch model. Finally, a diffusion process is used to sharpen the resulting regions. Evaluation on a large saliency dataset shows a significant improvement of our method over the baseline Itti and Koch model.

AB - We present a novel saliency mechanism based on texture. Local texture at each pixel is characterised by the 2D spectrum obtained from oriented Gabor filters. We then apply a parametric model and describe the texture at each pixel by a combination of two 1D Gaussian approximations. This results in a simple model which consists of only four parameters. These four parameters are then used as feature channels and standard Difference-of-Gaussian blob detection is applied in order to detect salient areas in the image, similar to the Itti and Koch model. Finally, a diffusion process is used to sharpen the resulting regions. Evaluation on a large saliency dataset shows a significant improvement of our method over the baseline Itti and Koch model.

U2 - 10.1007/978-3-319-24947-6_27

DO - 10.1007/978-3-319-24947-6_27

M3 - Conference contribution

AN - SCOPUS:84952359587

SN - 9783319249469

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 331

EP - 342

BT - Pattern Recognition

A2 - Gall, Juergen

A2 - Gehler, Peter

A2 - Leibe, Bastian

PB - Springer

CY - Cham

T2 - 37th German Conference on Pattern Recognition, GCPR 2015

Y2 - 7 October 2015 through 10 October 2015

ER -

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ID: 255500533

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