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Trademark Image Retrieval

Trademark Image Retrieval

Wing-Yin Chau, Chia-Hung Wei, Yue Li
Copyright: © 2011 |Pages: 33
ISBN13: 9781616928599|ISBN10: 161692859X|EISBN13: 9781616928612
DOI: 10.4018/978-1-61692-859-9.ch005
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MLA

Chau, Wing-Yin, et al. "Trademark Image Retrieval." Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, IGI Global, 2011, pp. 82-114. https://doi.org/10.4018/978-1-61692-859-9.ch005

APA

Chau, W., Wei, C., & Li, Y. (2011). Trademark Image Retrieval. In C. Wei & Y. Li (Eds.), Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives (pp. 82-114). IGI Global. https://doi.org/10.4018/978-1-61692-859-9.ch005

Chicago

Chau, Wing-Yin, Chia-Hung Wei, and Yue Li. "Trademark Image Retrieval." In Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies Applications and Perspectives, edited by Chia-Hung Wei and Yue Li, 82-114. Hershey, PA: IGI Global, 2011. https://doi.org/10.4018/978-1-61692-859-9.ch005

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Abstract

With the rapid increase in the amount of registered trademarks around the world, trademark image retrieval has been developed to deal with a vast amount of trademark images in a trademark registration system. Many different approaches have been developed throughout these years in an attempt to develop an effective TIR system. Some conventional approaches used in content-based image retrieval, such as moment invariants, Zernike moments, Fourier descriptors and curvature scale space descriptors, have also been widely used in TIR. These approaches, however, contain some major deficiencies when addressing the TIR problem. Therefore, this chapter proposes a novel approach in order to overcome the major deficiencies of the conventional approaches. The proposed approach combines the Zernike moments descriptors with the centroid distance representation and the curvature representation. The experimental results show that the proposed approach outperforms the conventional approaches in several circumstances. Details regarding to the proposed approach as well as the conventional approaches are presented in this chapter.

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