Special Issues
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Innovative AI Applications in Pattern Recognition and Visual Data Processing and Hiding

Submission Deadline: 28 February 2025 View: 573 Submit to Special Issue

Guest Editors

Prof. Lidia Ogiela, Faculty of Computer Science, AGH University of Krakow, Kraków, 30-059, Poland
Prof. Makoto Takizawa, Research Center for Computing and Multimedia Studies, Hosei Univesity, Tokyo, 184-8584, Japan
Dr. Arcangelo Castiglione, Department of Computer Science, University of Salerno,Salerno, 132 - 84084, Italy

Summary

Innovative applications of artificial intelligence in pattern recognition and visual data processing and hiding are currently setting the cutting edge of artificial intelligence and automatic data processing. Both pattern recognition processes and techniques, as well as methods for hiding visual data using artificial intelligence methods, offer opportunities to use advanced protocols for protecting and securing data. Applications of artificial intelligence in the broader processes of pattern recognition and data hiding show the possibilities of combining the areas of data analysis with the processes of data protection.


These topics, as well as others related to innovative applications of artificial intelligence in the areas of pattern recognition and visual data processing and hiding, will be the focus of this special issue.


Topics of interest include, but are not limited to, the following scope:

· Applications of AI in pattern recognition

· Visual data processing and hiding

· Advanced visual authorization codes

· New approaches of data processing, and semantic analysis

· Innovative protocols of visual data hiding

· Computational intelligence in advanced data analysis, and knowledge extraction

· Advanced protocols for visual data division and distribution


Keywords

Pattern recognition, AI, visual data processing and hiding, Visual authorization codes

Published Papers


  • Open Access

    ARTICLE

    Security Strategy of Digital Medical Contents Based on Blockchain in Generative AI Model

    Hoon Ko, Marek R. Ogiela
    CMC-Computers, Materials & Continua, DOI:10.32604/cmc.2024.057257
    (This article belongs to the Special Issue: Innovative AI Applications in Pattern Recognition and Visual Data Processing and Hiding)
    Abstract This study presents an innovative approach to enhancing the security of visual medical data in the generative AI environment through the integration of blockchain technology. By combining the strengths of blockchain and generative AI, the research team aimed to address the timely challenge of safeguarding visual medical content. The participating researchers conducted a comprehensive analysis, examining the vulnerabilities of medical AI services, personal information protection issues, and overall security weaknesses. This multifaceted exploration led to an in-depth evaluation of the model’s performance and security. Notably, the correlation between accuracy, detection rate, and error rate was… More >

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