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Research on Improving the Performance of Image based Web Structure Similarity: Combining SSIM and ORB algorithms

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2024, 29(11), pp.1-10
  • DOI : 10.9708/jksci.2024.29.11.001
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : September 2, 2024
  • Accepted : October 30, 2024
  • Published : November 29, 2024

Seo-Hyuck Lee 1 Jin-san Kim 1 Jung-Hwan Kim 1 LEE, HAN JIN 2

1주식회사 위븐
2한동대학교

Accredited

ABSTRACT

This study aims to establish a standard to accurately determine the similarity of the results when web pages are generated automatically using AI technology due to the explosive increase in demand for digital business. The YOLO, SSIM, Jaccard, and ORB techniques presented in previous studies related to the existing image similarity evaluation index generally focused on the partial and morphological similarity between the reference and the derived image. However, with the development of more complex and in-depth digital services based on generative AI, the need for comprehensive similarity analysis and determination methods that reflect the context and structure has emerged. Accordingly, this study proposed and verified a method to obtain ‘Web Structural Similarity (WSS)’ by combining the advantages of SSIM and ORB prior techniques. The research will serve various meaningful implications.

Citation status

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