Special Session 4: Emerging Media Security, Quality, and Blockchain Technologies (EMSQ-B)

 

Organiser

Bio: Norifumi Kawabata received his Ph.D. degree in Information Science from the Graduate School of Information Science, Nagoya University, Japan, in 2017. He has held academic and research positions across several institutions, including Chiba University, Tokyo University of Science, Hokkaido University, Kanazawa Gakuin University, and Kanazawa University. Currently, he is a Research Collaborator at the Emerging Media Initiative, Kanazawa University, and the Principal Investigator of the Computational Imaging Lab. His research interests encompass signal and media processing, computational imaging, 3D computer graphics, image quality assessment, medical image engineering, and digital archiving with secure utilization technologies. Dr. Kawabata has been actively involved in academic services; he served as an Invited Speaker, Technical Program Committee member, and Session Chair for ICBTA 2025, and currently serves as the Publicity Chair for ICBTA 2026. He is a member of the Institute of Electronics, Information and Communication Engineers (IEICE), the Institute of Image Information and Television Engineers (ITE), and other professional societies.

Submission Link (Enter the submission system and select Special Session 4: Emerging Media Security, Quality, and Blockchain Technologies (EMSQ-B) )

Introduction

The rapid advancements in generative AI, 3D computer graphics, and high-resolution imaging have fundamentally transformed the creation, distribution, and consumption of visual media. However, these breakthroughs also introduce critical challenges concerning content authenticity, copyright infringement, privacy leakage, and perceptual quality degradation across digital ecosystems. This special session, titled "Emerging Media Security, Quality, and Blockchain Technologies (EMSQ-B)," aims to bridge cutting-edge research across image media quality assessment, enriched multimedia security, and blockchain technologies. By integrating advanced media processing techniques with decentralized, tamper-proof architectures, the session explores novel frameworks for trustworthy media provenance, intellectual property management, tamper detection, and privacy-preserving data sharing. Furthermore, it addresses subjective and objective quality evaluation metrics for encrypted or watermarked media, 3D/immersive rendering, and digital archiving in domains such as cultural heritage and medical imaging. By fostering interdisciplinary dialogue among researchers, engineers, and practitioners, this session seeks to establish secure, high-quality, and trustworthy media infrastructures for Web3 and future digital ecosystems.

Related topics for this special session (but not limited to) :

1. Protecting Media Value & Provenance (Security & Integrity):

  • Blockchain-based media copyright management, licensing, and NFT systems
  • Digital watermarking, steganography, steganalysis, and perceptual hashing
  • Image/video forensics, deepfake detection, and tamper verification
  • Privacy-preserving media processing, secret sharing, and secure multi-party computation
  • Decentralized content delivery networks (dCDN) and access control mechanisms


    • 2. Enhancing & Creating Media Value (Processing & Generative Media):

  • 3D image acquisition, computer-generated holography (CGH), point clouds, and immersive displays
  • Generative AI, image/video restoration, super-resolution, and style transfer
  • Cross-media retrieval, multimedia annotation, and intelligent media synthesis
  • Secure and scalable digital archiving for cultural heritage, museums, and medical data
  • Interaction design, perceptual rendering, and human-computer interfaces


    • 3. Measuring Media Value (Perceptual & Media Quality):

  • Subjective and objective image/video quality assessment (IQA/VQA)
  • Human visual perception, visual fatigue, cognitive metrics, and psychophysics
  • Quality of Service (QoS) and Quality of Experience (QoE) in decentralized media streaming
  • Robustness and quality trade-offs in watermarked/encrypted visual content
  • Benchmarking, datasets, and performance evaluation metrics for secure media


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