NDLI: Image retrieval on uncompressed and compressed domains

Content Provider	IEEE Xplore Digital Library
Author	Ruey-Feng Chang Wen-Jia Kuo Hung-Chi Tsai
Copyright Year	2000
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan (Ruey-Feng Chang)
Abstract	With the rapid growth of the Internet and multimedia systems, digital images have been enormously used in many applications now. The way of how to retrieve the image we want from a large image database correctly plays a more important role. Currently, most proposed methods for image retrieval can only be applied with images in the same representing domain. We propose a novel methodology that extracts the feature image directly from its original domain without any decompressing procedures. The feature is further modified to achieve the rotation-invariant and scaling property. Our proposed method can be used for image retrieval on the three most frequently adopted types of images nowadays: spatial, DCT compressed, and wavelet-compressed images. Experimental results show that our proposed method is quite effective not only for the performance but also is not afraid of scale and rotation.
Starting Page	546
Ending Page	549
File Size	457197
Page Count	4
File Format	PDF
ISBN	0780362977
ISSN	15224880
DOI	10.1109/ICIP.2000.899478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-09-10
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image retrieval Image coding Feature extraction Transform coding Image databases Discrete cosine transforms Wavelet domain Wavelet transforms Pixel Computer science
Content Type	Text
Resource Type	Article

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