https://scholars.lib.ntu.edu.tw/handle/123456789/115209
標題: | Image retrieval on uncompressed and compressed domains | 作者: | Chang, Ruey-Feng Kuo, Wen-Jia Tsai, Hung-Chi |
公開日期: | 2000 | 出版社: | �O�_��:��O�W�j�Ǹ�T�u�{�Ǩt | 來源出版物: | 2000 International Conference on Image Processing | 摘要: | With 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. |
URI: | http://scholars.lib.ntu.edu.tw/handle/123456789/289430 http://ntur.lib.ntu.edu.tw/bitstream/246246/2006092712285346032/1/icip2000.pdf |
其他識別: | 2006092712285346032 | DOI: | 10.1109/icip.2000.899478 |
顯示於: | 資訊工程學系 |
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icip2000.pdf | 99.61 kB | Adobe PDF | 檢視/開啟 |
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