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Proceedings Paper

Content-based unconstrained color logo and trademark retrieval with color edge gradient co-occurrence histograms
Author(s): Raymond Phan; Dimitrios Androutsos
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Paper Abstract

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.

Paper Details

Date Published: 28 January 2008
PDF: 12 pages
Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200K (28 January 2008);
Show Author Affiliations
Raymond Phan, Ryerson Univ. (Canada)
Dimitrios Androutsos, Ryerson Univ. (Canada)

Published in SPIE Proceedings Vol. 6820:
Multimedia Content Access: Algorithms and Systems II
Theo Gevers; Ramesh C. Jain; Simone Santini, Editor(s)

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