Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks

Yijun Yan; Jinchang Ren; Yinsheng Li; James Windmill; Winifred Ijomah

doi:10.1109/BigMM.2015.43

Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks

Yijun Yan, Jinchang Ren, Yinsheng Li, James Windmill, Winifred Ijomah

Computing

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

14 Citations (Scopus)

Abstract

Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-business based global marketing. Detecting misused and faked logos need designated and accurate image processing and retrieval techniques. However, existing colour and shape based retrieval techniques, which are mainly designed for natural images, cannot provide effective retrieval of logo images. In this paper, an effective approach is proposed for content-based image retrieval of coloured logos and trademarks. By extracting the dominant colour from colour quantization and measuring the spatial similarity, fusion of colour and spatial layout features is achieved. The proposed approach has been tested on a database containing over 250 logo images. Experimental results show that the proposed methodology yields more accurate results in retrieving relevant images than conventional approaches even with added Gaussian and Salt & pepper noise.

Original language	English
Title of host publication	Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015
Publisher	IEEE
Pages	306-311
Number of pages	6
ISBN (Electronic)	9781479986880
DOIs	https://doi.org/10.1109/BigMM.2015.43
Publication status	Published - 13 Jul 2015
Event	1st IEEE International Conference on Multimedia Big Data, BigMM 2015 - Beijing, China Duration: 20 Apr 2015 → 22 Apr 2015

Conference

Conference	1st IEEE International Conference on Multimedia Big Data, BigMM 2015
Country/Territory	China
City	Beijing
Period	20/04/15 → 22/04/15

Keywords

dominant colour descriptor
Image retrieval
logo and trademark retrieval
spatial layout

ASJC Scopus subject areas

Media Technology
Information Systems

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10.1109/BigMM.2015.43

Cite this

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title = "Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks",

abstract = "Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-business based global marketing. Detecting misused and faked logos need designated and accurate image processing and retrieval techniques. However, existing colour and shape based retrieval techniques, which are mainly designed for natural images, cannot provide effective retrieval of logo images. In this paper, an effective approach is proposed for content-based image retrieval of coloured logos and trademarks. By extracting the dominant colour from colour quantization and measuring the spatial similarity, fusion of colour and spatial layout features is achieved. The proposed approach has been tested on a database containing over 250 logo images. Experimental results show that the proposed methodology yields more accurate results in retrieving relevant images than conventional approaches even with added Gaussian and Salt & pepper noise.",

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author = "Yijun Yan and Jinchang Ren and Yinsheng Li and James Windmill and Winifred Ijomah",

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year = "2015",

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Yan, Y, Ren, J, Li, Y, Windmill, J & Ijomah, W 2015, Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks. in Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015., 7153905, IEEE, pp. 306-311, 1st IEEE International Conference on Multimedia Big Data, BigMM 2015, Beijing, China, 20/04/15. https://doi.org/10.1109/BigMM.2015.43

Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks. / Yan, Yijun; Ren, Jinchang; Li, Yinsheng et al.
Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015. IEEE, 2015. p. 306-311 7153905.

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

TY - GEN

T1 - Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks

AU - Yan, Yijun

AU - Ren, Jinchang

AU - Li, Yinsheng

AU - Windmill, James

AU - Ijomah, Winifred

PY - 2015/7/13

Y1 - 2015/7/13

N2 - Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-business based global marketing. Detecting misused and faked logos need designated and accurate image processing and retrieval techniques. However, existing colour and shape based retrieval techniques, which are mainly designed for natural images, cannot provide effective retrieval of logo images. In this paper, an effective approach is proposed for content-based image retrieval of coloured logos and trademarks. By extracting the dominant colour from colour quantization and measuring the spatial similarity, fusion of colour and spatial layout features is achieved. The proposed approach has been tested on a database containing over 250 logo images. Experimental results show that the proposed methodology yields more accurate results in retrieving relevant images than conventional approaches even with added Gaussian and Salt & pepper noise.

AB - Due to its uniqueness and high value in commercial side, logos and trademarks play a key role in e-business based global marketing. Detecting misused and faked logos need designated and accurate image processing and retrieval techniques. However, existing colour and shape based retrieval techniques, which are mainly designed for natural images, cannot provide effective retrieval of logo images. In this paper, an effective approach is proposed for content-based image retrieval of coloured logos and trademarks. By extracting the dominant colour from colour quantization and measuring the spatial similarity, fusion of colour and spatial layout features is achieved. The proposed approach has been tested on a database containing over 250 logo images. Experimental results show that the proposed methodology yields more accurate results in retrieving relevant images than conventional approaches even with added Gaussian and Salt & pepper noise.

KW - dominant colour descriptor

KW - Image retrieval

KW - logo and trademark retrieval

KW - spatial layout

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M3 - Conference contribution

AN - SCOPUS:84941220311

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BT - Proceedings of the 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015

PB - IEEE

T2 - 1st IEEE International Conference on Multimedia Big Data, BigMM 2015

Y2 - 20 April 2015 through 22 April 2015

ER -

Fusion of Dominant Colour and Spatial Layout Features for Effective Image Retrieval of Coloured Logos and Trademarks

Abstract

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Keywords

ASJC Scopus subject areas

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