Abstract | ||
---|---|---|
Unseen visible watermarking has been emerged as a promising data hiding approach which emulates real-world watermarks and preserves the advantages of both visible and invisible watermarking. Recently, several methods have been proposed which attempt of improving the advantages of this promising technique, however most of them are focused on still images. In this paper we propose an unseen visible watermarking technique applied to digital video. Our proposed method takes into account spatial and temporal characteristics of digital video sequence to reduce computational cost. Several experiments have been carried out to demonstrate the advantages of the proposed method in terms of imperceptibility, which is especially important due to the high redundancy of video content, and readability of the watermark. The reported results validate that the proposed scheme is effective and appropriate to determine ownership identification of digital video. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/IWBF.2019.8739199 | 2019 7th International Workshop on Biometrics and Forensics (IWBF) |
Keywords | Field | DocType |
Video watermarking,Ownership Identification,Unseen-visible watermarking,compressed domain | Computer vision,Digital video,Digital watermarking,Computer science,Visualization,Information hiding,Watermark,Readability,Redundancy (engineering),Artificial intelligence | Conference |
ISSN | ISBN | Citations |
2381-6120 | 978-1-7281-0623-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pablo de Jesus Vega-Hernandez | 1 | 0 | 0.34 |
Manuel Cedillo-Hernandez | 2 | 68 | 10.06 |
Mariko Nakano | 3 | 0 | 1.01 |
Antonio Cedillo-Hernandez | 4 | 19 | 3.84 |
Héctor Manuel Pérez Meana | 5 | 12 | 1.93 |