Title :
A New Retrieval Method Based on YUV Clour Information for Digital Libraries
Author_Institution :
Hangzhou Wanxiang Polytech., Hangzhou, China
Abstract :
Image retrieval is the core technology to the further development of the digital library. At present, image retrieval is mainly restricted by the conflict between retrieval accuracy and retrieval speed. In order to solve this problem, an image retrieval method based on wavelet decomposition of YUV component images had been proposed in this paper. First, YUV component images were computed from original image information. Second, every component image was carried out wavelet decomposition, and then low-frequency component was extracted. Finally, similarity function was generated by fusing low-frequency of three component images. Experimental results demonstrated that the method proposed in this paper has a high retrieval accuracy at a fast speed.
Keywords :
content-based retrieval; feature extraction; image colour analysis; image retrieval; wavelet transforms; YUV clour information; YUV component image; digital library; image information; image retrieval method; low-frequency component extraction; retrieval accuracy; retrieval speed; similarity function; wavelet decomposition; Accuracy; Image color analysis; Image retrieval; Libraries; Reliability; Time measurement; User interfaces; Digital library; Image retrieval; Wavelet decomposition; YUV component;
Conference_Titel :
Intelligent System Design and Engineering Applications (ISDEA), 2013 Third International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-4893-5
DOI :
10.1109/ISDEA.2012.37