@article {10.3844/jcssp.2009.773.777,
article_type = {journal},
title = {Fixed Representative Colors Feature Extraction Algorithm for Moving Picture Experts Group-7 Dominant Color Descriptor},
author = {Ibrahim, Ahmed and Al-Zou'bi, Ala'a and Sahawneh, Raed and Makhadmeh, Maria},
volume = {5},
number = {11},
year = {2009},
month = {Nov},
pages = {773-777},
doi = {10.3844/jcssp.2009.773.777},
url = {https://thescipub.com/abstract/jcssp.2009.773.777},
abstract = {Problem statement: MPEG-7 has defined a set of color descriptors for the multimedia contents; one of these descriptors is the Dominant Color Descriptor (DCD). The DCD adopted the Generalized Lloyd Algorithm (GLA) as a feature extraction technique. However, using this algorithm in image retrieval systems may produce perceptually irrelevant images in the ranked results. Approach: In this study, we proposed a new technique for the extraction of the DCD called Fixed Representative Colors Feature Extraction Algorithm (FRCFE). This technique is based on converting the original image colors to a set of predefined colors in the RGB color space. Also, we developed an image retrieval system to measure the effectives of this technique. Results: Experimental results revealed that FRCFE provides better accurate and perceptually relevant image retrieval for the MPEG-7 DCD than GLA in the chosen dataset. Conclusion: Mapping the original image colors to a set of predefined colors preserved the main features of the image and can produce more accurate results when used in image retrieval systems.},
journal = {Journal of Computer Science},
publisher = {Science Publications}
}