C-BIRD: Content-Based Image Retrieval from Image Repositories Using Chromaticity and Recognition Kernel
- Ze-Nian Li
- Osmar R. Zaiane, University of Alberta (Database)
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 from Digital libraries) project. In addition to the use of common features such as keywords, color, texture, shape and their conjuncts, it is shown that (a) the color– channel–normalization enables Search by Illumination Invariance, and (b) the multi-level recognition kernel facilitates Search by Object Model in image and video databases
Citation
Z. Li, O. Zaiane. "C-BIRD: Content-Based Image Retrieval from Image Repositories Using Chromaticity and Recognition Kernel". International Workshop on Storage and Retrieval Issues in Image and Multimedia Databases, pp 361-366, August 1998.Keywords: | |
Category: | In Workshop |
BibTeX
@misc{Li+Zaiane:98, author = {Ze-Nian Li and Osmar R. Zaiane}, title = {C-BIRD: Content-Based Image Retrieval from Image Repositories Using Chromaticity and Recognition Kernel}, Pages = {361-366}, booktitle = {International Workshop on Storage and Retrieval Issues in Image and Multimedia Databases}, year = 1998, }Last Updated: February 04, 2020
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