��߻O�W�j�Ǹ�T�u�{�ǨtChang, Ruey-FengRuey-FengChangKuo, Wen-JiaWen-JiaKuoTsai, Hung-ChiHung-ChiTsai2006-09-272018-07-052006-09-272018-07-052000http://scholars.lib.ntu.edu.tw/handle/123456789/289430http://ntur.lib.ntu.edu.tw/bitstream/246246/2006092712285346032/1/icip2000.pdfWith the rapid growth of Internet and multimedia system, 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. In this paper, 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.application/pdf101998 bytesapplication/pdfzh-TWother10.1109/icip.2000.899478http://ntur.lib.ntu.edu.tw/bitstream/246246/2006092712285346032/1/icip2000.pdf