Abstract
Owing the widespread use of digital image, methods of high efficiency of image retrieval from WWW are becoming urgent requirements to users. But the traditional search engines are mostly based on keywords. This paper presents a modular image search engine based on keywords and contents, which organically combines search engine technology of keywords and images’ color feature. The system searches images from WWW by WEB robots, extracts their relevant contents and color features, and then stores them into a database. When a user gives a query, the system displays the results according to the user’s search requirements. For the color features of an image, a quantified method based on the maximum pixels ratio of irregular connected regions is raised. Experiments show that the method improves the retrieval efficiency and can get an expected search result more accurately, so as to satisfy the customer’s needs.
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Huang, X., Chen, W. (2012). A Modular Image Search Engine Based on Key Words and Color Features. In: Pan, Z., Cheok, A.D., Müller, W., Chang, M., Zhang, M. (eds) Transactions on Edutainment VIII. Lecture Notes in Computer Science, vol 7220. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31439-1_18
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DOI: https://doi.org/10.1007/978-3-642-31439-1_18
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