X.-P. Zhang, F. Wang, and D. Li (Canada)
content-based image retrieval (CBIR), feature extraction, wavelet domain, electronic commerce, electronic apparel catalog retrieval system (EACRS)
Content-based image retrieval (CBIR) methods are useful tools online e-commerce applications, such as in electronic apparel catalog retrieval system (EACRS). In this paper, we investigate a CBIR based electronic hat catalog retrieval system and conduct an empirical study for a specific e-commerce application. Through exploring three types of low-level features: texture, color and shape, we identify appropriate low-level features for semantic retrieval of this specific type of hat catalog database. The experimental results indicate that the shape features based on the centroid-contour distance Fourier descriptor perform better than the color and texture features for the hat database used in this project.
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