Seung-Wha Yoo

Ajou University

Papers

1

Total Citations

3

H-Index

1

About

Seung-Wha Yoo’s research lies at the intersection of digital watermarking, robot vision, and multimedia security, with a particular focus on protecting visual data in robotic applications. In his most-cited work, “An Extended DCT Domain Watermarking for Robot Vision against Geometric Image Attacks” (2013), Yoo addresses a critical challenge: safeguarding digital content used by mobile service robots against geometric distortions and copyright infringement. By extending discrete cosine transform (DCT)-based watermarking, he developed a robust method that ensures robot vision systems can reliably recognize objects even when images are attacked or altered. This contribution is especially relevant in an era where robots increasingly rely on digital services to interpret the real world. Although his citation count stands at 3, the work’s practical implications for secure robot-environment interaction and intellectual property protection in autonomous systems are noteworthy. Yoo’s research underscores the growing need for resilient watermarking techniques in emerging fields like service robotics and computer vision, making his work a foundational step for future studies on tamper-resistant visual data in automated environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
An Extended DCT Domain Watermarking for Robot Vision against Geometric Image Attacks
3 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Ajou University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago