Selective color image retrieval based on the Gaussian mixture model

Maria Luszczkiewicz-Piatek; Bogdan Smolka

doi:10.1007/978-3-642-33140-4_38

Selective color image retrieval based on the Gaussian mixture model

Maria Luszczkiewicz-Piatek
, Bogdan Smolka

Department of Data Science and Engineering (RAU/RAU4)

University of Lodz

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

4 Citations (Scopus)

Abstract

In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user's needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user's requirements are considered.

Original language	English
Title of host publication	Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings
Pages	431-443
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-642-33140-4_38
Publication status	Published - 2012
Event	14th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2012 - Brno, Czech Republic Duration: 4 Sept 2012 → 7 Sept 2012

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	7517 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2012
Country/Territory	Czech Republic
City	Brno
Period	4/09/12 → 7/09/12

Keywords

color categorization
color image retrieval
color selection
mixture modeling
spatial information

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-33140-4_38

Cite this

Luszczkiewicz-Piatek, M., & Smolka, B. (2012). Selective color image retrieval based on the Gaussian mixture model. In Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings (pp. 431-443). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7517 LNCS). https://doi.org/10.1007/978-3-642-33140-4_38

Luszczkiewicz-Piatek, Maria ; Smolka, Bogdan. / Selective color image retrieval based on the Gaussian mixture model. Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings. 2012. pp. 431-443 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Selective color image retrieval based on the Gaussian mixture model",

abstract = "In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user's needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user's requirements are considered.",

keywords = "color categorization, color image retrieval, color selection, mixture modeling, spatial information",

author = "Maria Luszczkiewicz-Piatek and Bogdan Smolka",

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Luszczkiewicz-Piatek, M & Smolka, B 2012, Selective color image retrieval based on the Gaussian mixture model. in Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7517 LNCS, pp. 431-443, 14th International Conference on Advanced Concepts for Intelligent Vision Systems, ACIVS 2012, Brno, Czech Republic, 4/09/12. https://doi.org/10.1007/978-3-642-33140-4_38

Selective color image retrieval based on the Gaussian mixture model. / Luszczkiewicz-Piatek, Maria; Smolka, Bogdan.
Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings. 2012. p. 431-443 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7517 LNCS).

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

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AU - Smolka, Bogdan

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N2 - In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user's needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user's requirements are considered.

AB - In this paper a novel technique of color based image retrieval is proposed. The image is represented by Gaussian mixtures of the set of histograms corresponding to the spatial location of the color regions within the image. The proposed approach enables to express user's needs concerning the specified color arrangements of the retrieved images, in form of the colors belonging to the eleven basic color groups along with their spatial locations. The solution proposed in this paper utilizes the mixture modeling of the information of each set of the color channels. Experimental results show that the proposed method is efficient and flexible, when specific user's requirements are considered.

KW - color categorization

KW - color image retrieval

KW - color selection

KW - mixture modeling

KW - spatial information

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DO - 10.1007/978-3-642-33140-4_38

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BT - Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings

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Luszczkiewicz-Piatek M, Smolka B. Selective color image retrieval based on the Gaussian mixture model. In Advanced Concepts for Intelligent Vision Systems - 14th International Conference, ACIVS 2012, Proceedings. 2012. p. 431-443. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-642-33140-4_38

Selective color image retrieval based on the Gaussian mixture model

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Keywords

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