Title
Affine-invariant image retrieval based on wavelet interest points
Abstract
This paper presents an affine-invariant image retrieval approach based on wavelet-based detector, which uses the space-tree property of the transform coefficients to estimate the interest points. Meanwhile, in order to retrieve images compressed by wavelet algorithm such as JPEG2000, the detector only uses the partial bit-planes of the wavelet coefficients to detect the interest points. To provide affine-invariant image matching, annular color histogram, annular texture histogram and spatial cohesion based on interest points are presented to describe image features. A series of experiments based on an image database consisting of 1000 images are performed to confirm the effectiveness of our method.
Year
DOI
Venue
2005
10.1109/MMSP.2005.248678
2005 IEEE 7th Workshop on Multimedia Signal Processing
Keywords
Field
DocType
Affine-invariant,CBIR,Interest points
Computer vision,Color histogram,Pattern recognition,Image texture,Computer science,Image retrieval,Artificial intelligence,Cascade algorithm,Stationary wavelet transform,Wavelet packet decomposition,Wavelet,Wavelet transform
Conference
Volume
Issue
ISSN
null
null
null
ISBN
Citations 
PageRank 
0-7803-9289-2
1
0.35
References 
Authors
2
4
Name
Order
Citations
PageRank
Guiguang Ding1173180.28
Qionghai Dai23904215.66
Xu Wenli310.35
Feng Yang48611.70