Illumination Invariance and Object Model in Content-Based Image and Video Retrieval
- Ze-Nian Li
- Osmar R. Zaiane, University of Alberta (Database)
- Zinovi Tauber
With huge amounts of multimedia information connected to the global information network (Internet), efficient and effective image retrieval from large image and video repositories has become an imminent research issue. This article presents our research in the C-BIRD (Content-Based Image Retrieval in Digital-libraries) project. In addition to the use of common features such as color, texture, shape and their conjuncts, and the combined content-based and description-based techniques, it is shown that (a) color {channel{normalization enables Search by Illumination Invariance, and (b) feature localization and a three-step matching algorithm (color hypothesis, texture support, shape veri fication) facilitate Search by Object Model in image and video databases.
Citation
Z. Li, O. Zaiane, Z. Tauber. " Illumination Invariance and Object Model in Content-Based Image and Video Retrieval". Journal of Visual Communication and Image Representation, 10(3), pp 219-244, October 1999.| Keywords: | Color, Content-based retrieval, Digital library, Feature localization, Generalized Hough Transform, Image and video databases, Modeling and matching, Segmentation, Shape, Texture |
| Category: | In Journal |
| Web Links: | Webdocs |
BibTeX
@article{Li+al:99,
author = {Ze-Nian Li and Osmar R. Zaiane and Zinovi Tauber},
title = { Illumination Invariance and Object Model in Content-Based Image and
Video Retrieval},
Volume = "10",
Number = "3",
Pages = {219-244},
journal = {Journal of Visual Communication and Image Representation},
year = 1999,
}Last Updated: October 30, 2019Submitted by Sabina P
