Content-based Search for Image Retrieval
Автор: Mohamed M. Fouad
Журнал: International Journal of Image, Graphics and Signal Processing(IJIGSP) @ijigsp
Статья в выпуске: 11 vol.5, 2013 года.
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In this paper, a content-based image retrieval approach is presented for effective searching. The proposed approach uses two or more types of query for accessing images, textual annotation associated with images and visual appearance, such as colour, texture and positional features of objects in sample images. One can first place a keyword-based query, and then the desired images are retrieved by visual content-based query. The proposed retrieval approach shows clear improvements over competing approaches in terms of retrieval accuracy and visual inspection using Corel gallery and WWW images.
Content-based, image retrieval and query, text search
Короткий адрес: https://sciup.org/15013101
IDR: 15013101
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