NDLI: Image retrieval based on key-blocks

Content Provider	IEEE Xplore Digital Library
Author	Zhao Shan Hou Zhan-wei
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Henan Polytech. Univ., Jiaozuo (Zhao Shan; Hou Zhan-wei)
Abstract	In order to effectively introduce existing text-retrieval methods into content-based image retrieval, a novel image retrieval method based on key-block was presented incorporating the different sensitivity along variant directions of human visual system and block truncation coding (BTC). The key-block was firstly extracted by use of the principle of BTC according to the different direction of the texture distribution. After that, a model based on the weighted histogram was proposed combining the influence of the frequency for different kinds of key-block on the image. The method can achieved a higher efficiency because of integrating spatial distribution information and edge distribution information into image descriptor. Experimental results show that the proposed method has sound and robust retrieval performance especially for the images with the abundant texture information and edge information.
Starting Page	973
Ending Page	976
File Size	142499
Page Count	4
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697290
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Frequency Information retrieval Humans Content based retrieval Image coding Computer science Histograms Visual system Robustness
Content Type	Text
Resource Type	Article

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