• 제목/요약/키워드: Sherlock Holmes

검색결과 2건 처리시간 0.017초

셜록홈즈(Sherlock Holmes)의 사례를 통한 콘텐츠 확장성 연구 (A Study on the Expansion of Cultural Contents through the Case of Sherlock Holmes)

  • 임영준;이영숙
    • 한국멀티미디어학회논문지
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    • 제20권10호
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    • pp.1689-1696
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    • 2017
  • The purpose of this study is to contribute to the development of a source of cultural contents by proposing extension possibility of cultural contents based on an original source. To this end, this article examined an aspect of Sherlock Holmes contents based on the novel "Sherlock Holmes" published in 1887. It has been produced as 217 different contents from 1899 to 2017 after publishing the novel Sherlock Holmes, and consequently, it has become the best material for the study of the expansion of contents. As a research method, we examined the concept of Transmedia with the change of media environment. Next, we examined the production method of "Sherlock Holmes" contents, analyzed the transformation factors according to each media, and presented the expansion of contents through "Sherlock Holmes" contents.

How to identify fake images? : Multiscale methods vs. Sherlock Holmes

  • Park, Minsu;Park, Minjeong;Kim, Donghoh;Lee, Hajeong;Oh, Hee-Seok
    • Communications for Statistical Applications and Methods
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    • 제28권6호
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    • pp.583-594
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    • 2021
  • In this paper, we propose wavelet-based procedures to identify the difference between images, including portraits and handwriting. The proposed methods are based on a novel combination of multiscale methods with a regularization technique. The multiscale method extracts the local characteristics of an image, and the distinct features are obtained through the regularized regression of the local characteristics. The regularized regression approach copes with the high-dimensional problem to build the relation between the local characteristics. Lytle and Yang (2006) introduced the detection method of forged handwriting via wavelets and summary statistics. We expand the scope of their method to the general image and significantly improve the results. We demonstrate the promising empirical evidence of the proposed method through various experiments.