1998
@inproceedings{HoW1998,
vgclass = {refpap},
vgproject = {cbir},
author = {Mark E. Hoffman and Edward K. Wong},
title = {Content-based image object retrieval by scale-space
representation of shapes},
editor = {C.-C. Jay Kuo and Shih-Fu Chang and Sethuraman
Panchanathan},
booktitle = {Multimedia Storage and Archiving Systems III (VV02)},
address = {Boston, Massachusetts, USA},
volume = {3527},
series = {SPIE Proceedings},
pages = {2--12},
month = {November},
year = {1998},
note = {(SPIE Symposium on Voice, Video and Data Communications)},
abstract = {Vast amounts of inexpensive storage and cost-effective
input devices have promoted a rapid increase in the amount of stored
digital images and video. Retrieving desired images from image
databases is a challenging problem, not easily solved by existing
database methods. Shape is one popular feature used to automate
retrieval of images by content. Example shape features include the
Fourier descriptor for describing shape boundaries, and area or
compactness for describing shape regions, among others. We present a
new shape-representation method based on extracting an image surface
ridge-line called the Most Prominent Ridge-Line (MRPL) in scale-space.
The MPRL is extracted by minimizing the second spatial derivative
orthogonal to the ridge-line direction. The scale of the MPRL point is
proportional to the image object's width. Matching query and database
MPRLs is shown to be an effective method for retrieving images based on
shape. A unique feature of the proposed method is that the scale space
dimension may be weighted to allow for any desired amount of shape
details in image retrieval.},
}