Abstract
This paper presents a real-time watermarking codec that is robust against re-encoding attacks for high-definition videos. The codec uses a segmentation function and texture detector techniques for applying real-time watermarking to human visual systems. Experimental results confirm that the proposed scheme satisfies the requirements of invisibility, real-time processing, and robustness against format conversion and low bit-rate encoding. The proposed algorithm has the advantages of simplicity, flexibility, and low computational burden; thus, it is a suitable candidate for many novel and interesting applications such as video fingerprinting for set-top boxes, Internet protocol television, personal video recorders, and satellite boxes.
| Original language | English |
|---|---|
| Pages (from-to) | 467-477 |
| Number of pages | 11 |
| Journal | Journal of Real-Time Image Processing |
| Volume | 13 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2017 Sept 1 |
Bibliographical note
Funding Information:This research was supported by a Korea University Grant.
Publisher Copyright:
© 2015, Springer-Verlag Berlin Heidelberg.
Keywords
- Format conversion
- Human visual system
- Image segmentation
- Re-encoding
- Real-time watermarking
ASJC Scopus subject areas
- Information Systems
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