Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template
As the Internet and communication technologies have developed quickly, the spread and usage of online video content have become easier, which results in major infringement problems. While video watermarking may be a viable solution for digital video content copyright protection, overcoming geometric...
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Hindawi-Wiley
2021
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oai:doaj.org-article:df97ac3055e84798a3a1dd60f3732e8d2021-11-29T00:56:34ZEnhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template1530-867710.1155/2021/3364680https://doaj.org/article/df97ac3055e84798a3a1dd60f3732e8d2021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/3364680https://doaj.org/toc/1530-8677As the Internet and communication technologies have developed quickly, the spread and usage of online video content have become easier, which results in major infringement problems. While video watermarking may be a viable solution for digital video content copyright protection, overcoming geometric attacks is a significant challenge. Although feature point-based watermarking algorithms are expected to be very resistant to these attacks, they are sensitive to feature region localization errors, resulting in poor watermark extraction accuracy. To solve this issue, we introduce the template to enhance the location accuracy of feature point-based watermarking. Furthermore, a scene change-based frame allocation method is presented, which arranges the template and the watermark to be embedded into different frames and eliminates their mutual interference, enhancing the performance of the proposed algorithm. According to the experimental results, our algorithm outperforms state-of-the-art methods in terms of robustness against geometric attacks under close imperceptibility.Zhongze LvHu GuanYing HuangShuwu ZhangYang ZhengHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021) |
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Technology T Telecommunication TK5101-6720 Zhongze Lv Hu Guan Ying Huang Shuwu Zhang Yang Zheng Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template |
description |
As the Internet and communication technologies have developed quickly, the spread and usage of online video content have become easier, which results in major infringement problems. While video watermarking may be a viable solution for digital video content copyright protection, overcoming geometric attacks is a significant challenge. Although feature point-based watermarking algorithms are expected to be very resistant to these attacks, they are sensitive to feature region localization errors, resulting in poor watermark extraction accuracy. To solve this issue, we introduce the template to enhance the location accuracy of feature point-based watermarking. Furthermore, a scene change-based frame allocation method is presented, which arranges the template and the watermark to be embedded into different frames and eliminates their mutual interference, enhancing the performance of the proposed algorithm. According to the experimental results, our algorithm outperforms state-of-the-art methods in terms of robustness against geometric attacks under close imperceptibility. |
format |
article |
author |
Zhongze Lv Hu Guan Ying Huang Shuwu Zhang Yang Zheng |
author_facet |
Zhongze Lv Hu Guan Ying Huang Shuwu Zhang Yang Zheng |
author_sort |
Zhongze Lv |
title |
Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template |
title_short |
Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template |
title_full |
Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template |
title_fullStr |
Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template |
title_full_unstemmed |
Enhancing Feature Point-Based Video Watermarking against Geometric Attacks with Template |
title_sort |
enhancing feature point-based video watermarking against geometric attacks with template |
publisher |
Hindawi-Wiley |
publishDate |
2021 |
url |
https://doaj.org/article/df97ac3055e84798a3a1dd60f3732e8d |
work_keys_str_mv |
AT zhongzelv enhancingfeaturepointbasedvideowatermarkingagainstgeometricattackswithtemplate AT huguan enhancingfeaturepointbasedvideowatermarkingagainstgeometricattackswithtemplate AT yinghuang enhancingfeaturepointbasedvideowatermarkingagainstgeometricattackswithtemplate AT shuwuzhang enhancingfeaturepointbasedvideowatermarkingagainstgeometricattackswithtemplate AT yangzheng enhancingfeaturepointbasedvideowatermarkingagainstgeometricattackswithtemplate |
_version_ |
1718407740052733952 |