Image-to-word transformation based on dividing and vector quantizing images with words
نویسندگان
چکیده
We propose a method to make a relationship between images and words. We adopt two processes in the method, one is a process to uniformly divide each image into sub-images with key words, and the other is a process to carry out vector quantization of the sub-images. These processes lead to results which show that each sub-image can be correlated to a set of words each of which is selected from words assigned to whole images. Original aspects of the method are, (1) all words assigned to a whole image are inherited to each divided sub-image, (2) the voting probability of each word for a set of divided images is estimated by the result of a vector quantization of the feature vector of sub-images. Some experiments show the e ectiveness of the proposed method.
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