Decoding Image Semantics Using Composite Region Templates
نویسندگان
چکیده
We present a method for decoding image semantics using composite region templates (CRTs). The CRTs de ne prototypal spatial arrangements of regions and features in the images. The system classi es unknown images by matching the strings of regions extracted from the images to the templates in a CRT library. We describe the process for generating the CRTs from photographic images by automatically segmenting the images into color regions. We demonstrate that the system performs well in classifying images from ten semantic classes and in searching for images in a large collection.
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