A color image retrieval system based on weighted average

Content-based image retrieval system needs a feature vector with dimensionality as lower as possible. In this paper, we propose an image retrieval system using low-dimensional color feature vector containing only one image feature termed as weighted average of colorful image. For finding similar images, the euclidean distance between the feature vector of query image and each feature vector of database images is calculated. We compared the proposed system with color averaging system presented in the literature on testing dataset and pascal dataset. The experiments demonstrate that our proposed system generates results more efficiently than the color averaging system without sacrificing the accuracy.