@inproceedings{a2260e031ba943e09d233d14220c03c1,
title = "A hierarchical algorithm for image retrieval by sketch",
abstract = "In this paper, we introduce a hierarchical algorithm for image retrieval by sketch, The application scenario is that the user inputs a rough sketch depicting the prominent edges or contours of objects and wishes to retrieve database images that have similar shapes. We can only expect to get a rough query sketch from the user, which is likely a distorted version of the intended database image, hence it is imperative that tolerance be provided towards sketch distortion. Compared with a previous method that has been adopted by various well-known content-based image indexing and retrieval systems such as the IBM QBIC project, this hierarchical algorithm offers 7 times computation speed-up while demonstrates more tolerance towards distortion in user sketches.",
author = "Yin Chan and Kung, {S. Y.}",
note = "Publisher Copyright: {\textcopyright} 1997 IEEE.; 1st IEEE Workshop on Multimedia Signal Processing, MMSP 1997 ; Conference date: 23-06-1997 Through 25-06-1997",
year = "1997",
doi = "10.1109/MMSP.1997.602694",
language = "English (US)",
series = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "564--569",
editor = "Yao Wang and Reibman, {Amy R.} and Juang, {B. H.} and Tsuhan Chen and Sun-Yuan Kung",
booktitle = "1997 IEEE 1st Workshop on Multimedia Signal Processing, MMSP 1997",
address = "United States",
}