@inproceedings{816c73ca57784588a3f3ae52306374dd,
title = "Color indexing using wavelet-based salient points",
abstract = "Color is an important attribute for image matching and retrieval. Most of the attention from the research literature has been focused on color indexing techniques based on global color distributions. However, these global distributions have limited discriminating power because they are unable to capture local color information. We present a wavelet-based salient point extraction algorithm. We show that extracting the color information in the locations given by these points provides significantly improved retrieval results as compared to the global color feature approaches.",
author = "N. Sebe and Q. Tian and E. Loupias and Lew, {M. S.} and Huang, {T. S.}",
note = "Publisher Copyright: {\textcopyright} 2000 IEEE.; IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000 ; Conference date: 12-06-2000",
year = "2000",
doi = "10.1109/IVL.2000.853833",
language = "English (US)",
series = "Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "15--19",
booktitle = "Proceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2000",
address = "United States",
}