JIPS (한국정보처리학회)
Current Result Document :
| 한글제목(Korean Title) |
Design of Image Generation System for DCGAN-Based Kids’ Book Text |
| 영문제목(English Title) |
Design of Image Generation System for DCGAN-Based Kids’ Book Text |
| 저자(Author) |
Jaehyeon Cho
Nammee Moon
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| 원문수록처(Citation) |
VOL 16 NO. 06 PP. 1437 ~ 1446 (2020. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
For the last few years, smart devices have begun to occupy an essential place in the life of children, by allowing them to access a variety of language activities and books. Various studies are being conducted on using smart devices for education. Our study extracts images and texts from kids’ book with smart devices and matches the extracted images and texts to create new images that are not represented in these books. The proposed system will enable the use of smart devices as educational media for children. A deep convolutional generative adversarial network (DCGAN) is used for generating a new image. Three steps are involved in training DCGAN. Firstly, images with 11 titles and 1,164 images on ImageNet are learned. Secondly, Tesseract, an optical character recognition engine, is used to extract images and text from kids’ book and classify the text using a morpheme analyzer. Thirdly, the classified word class is matched with the latent vector of the image. The learned DCGAN creates an image associated with the text.
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| 키워드(Keyword) |
DCGAN
NLTK
OCR
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| 파일첨부 |
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