| 摘要 |
The system builds a database which stores data corresponding to a plurality of images. To begin, the system divides each image into N (N>=1) regions. Then, for each of the N regions, the system calculates a histogram of the region, generates a binary representation of the histogram, and stores data corresponding to the image in a binary tree based on the binary representation. The database may then be used to determine images which are similar to a query image. To do this, the system divides the query image into N regions, each of which corresponds to one of the binary trees in the database. Data corresponding to one or more images in the database is then retrieved from the binary trees based on the N regions. The system then determines which of these images is similar to the query image based on the retrieved data.
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