28 January 2008 Content-based unconstrained color logo and trademark retrieval with color edge gradient co-occurrence histograms
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In this paper, we present a logo and trademark retrieval system for 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 color images, in comparison to the simple color pixel difference classification of edges as seen in the CECH. Our proposed method is thus reliant on edge gradient information, and as such, we call this the Color Edge Gradient Co-occurrence Histogram (CEGCH). We use this as the main mechanism for our unconstrained color logo and trademark retrieval scheme. Results illustrate that the proposed retrieval system retrieves logos and trademarks with good accuracy, and outperforms the CECH object detection scheme with higher precision and recall.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Raymond Phan, Raymond Phan, Dimitrios Androutsos, Dimitrios Androutsos, "Content-based unconstrained color logo and trademark retrieval with color edge gradient co-occurrence histograms", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200K (28 January 2008); doi: 10.1117/12.766426; https://doi.org/10.1117/12.766426


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