Title :
Image retrieval on uncompressed and compressed domains
Author :
Chang, Ruey-Feng ; Kuo, Wen-Jia ; Tsai, Hung-Chi
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
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.
Keywords :
discrete cosine transforms; feature extraction; image coding; image retrieval; transform coding; visual databases; wavelet transforms; DCT compressed image; compressed domain; digital images; feature image extraction; image retrieval; large image database; multimedia systems; rotation-invariant property; scaling property; spatial image; uncompressed domain; wavelet-compressed images; Computer science; Discrete cosine transforms; Feature extraction; Image coding; Image databases; Image retrieval; Pixel; Transform coding; Wavelet domain; Wavelet transforms;
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
Print_ISBN :
0-7803-6297-7
DOI :
10.1109/ICIP.2000.899478