2004
@inproceedings{HaL2004,
vgclass = {refpap},
author = {Jonathon S. Hare and Paul H. Lewis},
title = {Salient Regions for Query by Image Content},
booktitle = {Proceedings of the Third International Conference on Image
and Video Retrieval (CIVR 2004)},
address = {Dublin, Ireland},
number = {3115},
series = {Lecture Notes in Computer Science},
pages = {317--325},
publisher = {Springer-Verlag},
month = {July~21--23},
year = {2004},
url = {http://www.springerlink.com/link.asp?id=t9x9xg0udct45rmg},
abstract = {Much previous work on image retrieval has used global
features such as colour and texture to describe the content of the
image. However, these global features are insufficient to accurately
describe the image content when different parts of the image have
different characteristics. This paper discusses how this problem can be
circumvented by using salient interest points and compares and
contrasts an extension to previous work in which the concept of scale
is incorporated into the selection of salient regions to select the
areas of the image that are most interesting and generate local
descriptors to describe the image characteristics in that region. The
paper describes and contrasts two such salient region descriptors and
compares them through their repeatability rate under a range of common
image transforms. Finally, the paper goes on to investigate the
performance of one of the salient region detectors in an image
retrieval situation.},
}