Logo and trademark retrieval in general image databases using color edge gradient co-occurrence histograms

Authors:
Raymond Phan;Dimitrios Androutsos
Affiliations:
Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada;Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada
Venue:
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Year:
2007

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Abstract

In this paper, we present a logo and trademark retrieval system for general, unconstrained, color image databases that extends the Color Edge Co-occurrence Histogram (CECH) object detection scheme. 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 images, in comparison to the simple color pixel difference classification of edges as seen in the CECH. As such, we call this the Color Edge Gradient Co-occurrence Histogram (CEGCH). We use this as the main mechanism for our retrieval scheme. Results illustrate that the proposed retrieval system retrieves logos and trademarks with good accuracy.