Image retrieval on uncompressed and compressed domains

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.