Content-based retrieval of logo and trademarks in unconstrained color image databases using Color Edge Gradient Co-occurrence Histograms

In this paper, we present an algorithm that extends the Color Edge Co-occurrence Histogram (CECH) object detection scheme on compound color objects, for the retrieval of logos and trademarks in unconstrained color image databases. We introduce more accurate information to the CECH, by virtue of inco...

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Bibliographic Details
Published in:Computer vision and image understanding 2010, Vol.114 (1), p.66-84
Main Authors: Phan, Raymond, Androutsos, Dimitrios
Format: Article
Language:English
Subjects:
Applied sciences
Artificial intelligence
Color edge detection
Color Edge Gradient Co-occurrence Histogram (CEGCH)
Computer science
control theory
systems
Exact sciences and technology
HSV color quantization
Information systems. Data bases
Logo and trademark retrieval
Memory organisation. Data processing
Pattern recognition
Pattern recognition. Digital image processing. Computational geometry
Software
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Summary:In this paper, we present an algorithm that extends the Color Edge Co-occurrence Histogram (CECH) object detection scheme on compound color objects, for the retrieval of logos and trademarks in unconstrained color image databases. We introduce more accurate information to the CECH, by virtue of incorporating color edge detection using vector order statistics. This produces a more accurate representation of edges in color images, as compared to the simple color pixel difference classification of edges seen with the CECH. Our proposed method is thus reliant on edge gradient information, and so we call it the Color Edge Gradient Co-occurrence Histogram (CEGCH). We also introduce a color quantization method based in the hue–saturation–value (HSV) color space, illustrating that it is a more suitable scheme of quantization for image retrieval, compared to the color quantization scheme introduced with the CECH. Experimental results demonstrate that the CEGCH and the HSV color quantization scheme is insensitive to scaling, rotation, and partial deformations, and outperforms the use of the CECH in image retrieval, with higher precision and recall. We also perform experiments on a closely related algorithm based on the Color Co-occurrence Histogram (CCH) and demonstrate that our algorithm is also superior in comparison, with higher precision and recall.
ISSN:1077-3142
1090-235X
DOI:10.1016/j.cviu.2009.07.004