DocumentCode
3385431
Title
Key technique research of image retrieval based on combination feature
Author
Yang Yanping ; Wang Lei
Author_Institution
Dept. of Comput. Sci. & Technol., Hebei Normal Univ. of Sci. & Technol., Qinghuangdao, China
Volume
2
fYear
2009
fDate
28-29 Nov. 2009
Firstpage
69
Lastpage
72
Abstract
In this paper, we introduce the generalization of feature-based image retrieval, the technology of semantic query and how to use CBIR on web. It research the different methods retrieval the image, including color-shape feature (CS) and color-texture-shape (CTS) feature. Through contrasting CS, CST we found CS and CST enhanced effectively and decreased the storage space and calculation. On the base of the color, texture and shape features, the technology of semantic query is proposed in this paper. The query not only reflect the low-layer physical property of image, but also joined with the high-layer semantic property of image. The retrieval performance is improved efficiently.
Keywords
Internet; content-based retrieval; image colour analysis; image retrieval; image texture; CBIR; World Wide Web; color-shape feature; color-texture-shape feature; combination feature; feature based image retrieval; semantic query; Computer science; Content based retrieval; Histograms; Image databases; Image retrieval; Information retrieval; Multimedia databases; Quantization; Shape; Space technology; Morphology; image database; semantic query;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-4606-3
Type
conf
DOI
10.1109/PACIIA.2009.5406539
Filename
5406539
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