Abstract
In this paper, we proposed a method of automatic image semantic annotation based on the tourism domain’s ontological knowledge base. We need to do other things based on the traditional semantic annotation method. Firstly, we need to acquire the names of the scenic spots thorough image classification. Then we have to build ontological knowledge base on tourism domain and consider the annotation words and the names of the scenic spots as reasoning conditions. At last, we can use the ontological knowledge base to ratiocinate so as to enhance the accuracy of image annotation, and what’s more, to associate annotation words with the name of scenic spot so that we can make annotation words more specific.
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Zhang, P., Du, J., Fan, D., Zhou, Y. (2015). Automatic Image Semantic Annotation Based on the Tourism Domain Ontological Knowledge Base. In: Zha, H., Chen, X., Wang, L., Miao, Q. (eds) Computer Vision. CCCV 2015. Communications in Computer and Information Science, vol 547. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48570-5_7
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DOI: https://doi.org/10.1007/978-3-662-48570-5_7
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