Image retrieval based on Gaussian mixture approach to color localization

Maria Luszczkiewicz-Piatek; Bogdan Smolka

doi:10.1007/978-3-642-24085-0_36

Image retrieval based on Gaussian mixture approach to color localization

Maria Luszczkiewicz-Piatek
, Bogdan Smolka

Department of Data Science and Engineering (RAU/RAU4)

Department of Applied Computer Science
University of Lodz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The paper focuses on the possibilities of color image retrieval of the images sharing the similar location of particular color or set of colors present in the depicted scene. The main idea of the proposed solution is based on treating image as a multispectral object, where each of its spectral channels shows locations of pixels of 11 basis colors within the image. Thus, each of the analyzed images has associated signature, which is constructed on the basis of the mixture approximation of its spectral components. The ability of determining of highly similar images, in terms of one or more basic colors, reveals that the proposed method provides useful and efficient tool for robust to impulse distortions image retrieval.

Original language	English
Title of host publication	Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings
Publisher	Springer Verlag
Pages	347-355
Number of pages	9
Edition	PART 1
ISBN (Print)	9783642240843
DOIs	https://doi.org/10.1007/978-3-642-24085-0_36
Publication status	Published - 2011
Event	16th International Conference on Image Analysis and Processing, ICIAP 2011 - Ravenna, Italy Duration: 14 Sept 2011 → 16 Sept 2011

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6978 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	16th International Conference on Image Analysis and Processing, ICIAP 2011
Country/Territory	Italy
City	Ravenna
Period	14/09/11 → 16/09/11

Keywords

Gaussian mixture
color composition
color image retrieval

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-24085-0_36

Cite this

Luszczkiewicz-Piatek, M., & Smolka, B. (2011). Image retrieval based on Gaussian mixture approach to color localization. In Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings (PART 1 ed., pp. 347-355). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6978 LNCS, No. PART 1). Springer Verlag. https://doi.org/10.1007/978-3-642-24085-0_36

Luszczkiewicz-Piatek, Maria ; Smolka, Bogdan. / Image retrieval based on Gaussian mixture approach to color localization. Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2011. pp. 347-355 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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title = "Image retrieval based on Gaussian mixture approach to color localization",

abstract = "The paper focuses on the possibilities of color image retrieval of the images sharing the similar location of particular color or set of colors present in the depicted scene. The main idea of the proposed solution is based on treating image as a multispectral object, where each of its spectral channels shows locations of pixels of 11 basis colors within the image. Thus, each of the analyzed images has associated signature, which is constructed on the basis of the mixture approximation of its spectral components. The ability of determining of highly similar images, in terms of one or more basic colors, reveals that the proposed method provides useful and efficient tool for robust to impulse distortions image retrieval.",

keywords = "Gaussian mixture, color composition, color image retrieval",

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booktitle = "Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings",

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Luszczkiewicz-Piatek, M & Smolka, B 2011, Image retrieval based on Gaussian mixture approach to color localization. in Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6978 LNCS, Springer Verlag, pp. 347-355, 16th International Conference on Image Analysis and Processing, ICIAP 2011, Ravenna, Italy, 14/09/11. https://doi.org/10.1007/978-3-642-24085-0_36

Image retrieval based on Gaussian mixture approach to color localization. / Luszczkiewicz-Piatek, Maria; Smolka, Bogdan.
Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1. ed. Springer Verlag, 2011. p. 347-355 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6978 LNCS, No. PART 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Smolka, Bogdan

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N2 - The paper focuses on the possibilities of color image retrieval of the images sharing the similar location of particular color or set of colors present in the depicted scene. The main idea of the proposed solution is based on treating image as a multispectral object, where each of its spectral channels shows locations of pixels of 11 basis colors within the image. Thus, each of the analyzed images has associated signature, which is constructed on the basis of the mixture approximation of its spectral components. The ability of determining of highly similar images, in terms of one or more basic colors, reveals that the proposed method provides useful and efficient tool for robust to impulse distortions image retrieval.

AB - The paper focuses on the possibilities of color image retrieval of the images sharing the similar location of particular color or set of colors present in the depicted scene. The main idea of the proposed solution is based on treating image as a multispectral object, where each of its spectral channels shows locations of pixels of 11 basis colors within the image. Thus, each of the analyzed images has associated signature, which is constructed on the basis of the mixture approximation of its spectral components. The ability of determining of highly similar images, in terms of one or more basic colors, reveals that the proposed method provides useful and efficient tool for robust to impulse distortions image retrieval.

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DO - 10.1007/978-3-642-24085-0_36

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SN - 9783642240843

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

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BT - Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings

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Luszczkiewicz-Piatek M, Smolka B. Image retrieval based on Gaussian mixture approach to color localization. In Image Analysis and Processing, ICIAP 2011 - 16th International Conference, Proceedings. PART 1 ed. Springer Verlag. 2011. p. 347-355. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-24085-0_36

Image retrieval based on Gaussian mixture approach to color localization

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Keywords

ASJC Scopus subject areas

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