| 摘要 |
A category-based photo clustering method, medium, and system using region division templates. The method may include dividing an input photo into regions by using photo region templates, modeling a local semantic concept that the photo includes in each divided region, extracting a dominant concept of each region from the modeling, generating a histogram of dominant concepts, and determining a category that the photo has from the histogram. According to a method, medium, and system, by using together user preference and content-based feature value information, such as color, texture, and shape, from the contents of photos, as well as information that can be basically obtained from photos, such as camera information and file information stored in a camera, a large volume of photos may be categorized such that an album can be generated and accessed fast and effectively.
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