Semantic Mapping of Color Feature and its Application in Content Based Image Retrieval

Abstract:

To support content based image retrieval, MPEG-7 is developed to define the content interfaces for images. In MPEG-7, Dominant Color Descriptor (DCD) is considered as the most important feature, and is widely used to describe the color features of an image. To support semantic queries from users, we proposed a color feature semantic mapping method in this work, which can translate the DCD values into semantic color names. The semantic mapping method is realized by constructing a mapping table between the DCD values and the semantic color names. To validate the effectiveness of our mapping method, an image retrieval experiment is conducted. From the comparison with the manually indexed description, the proposed mapping method is proved to be effective by the experiment results. Our work is very important to automatically generate the semantic description of an image and then support the users’ semantic retrieval queries.

• Periodical: Applied Mechanics and Materials (Volumes 263-266)
• Pages: 2488-2492
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.263-266.2488
• Online since: December 2012
• Authors: You Ping Zhong, Biao Peng, Jun Li, Chong Yang Zhang
• Keywords: Content Based Image Retrieval, Dominant Color Descriptor, MPEG-7, Semantic Mapping Method for Color Feature

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