  The paper approaches the binary signature for each image based on the
percentage of the pixels in each color images, at the same time the paper
builds a similar measure between images based on EMD (Earth Mover's Distance).
Besides, the paper proceeded to create the S-tree based on the similar measure
EMD to store the image's binary signatures to quickly query image signature
data. From there, the paper build an image retrieval algorithm and CBIR
(Content-Based Image Retrieval) based on a similar measure EMD and S-tree.
Based on this theory, the paper proceeded to build application and experimental
assessment of the process of querying image on the database system which have
over 10,000 images.
