An improved video watermarking algorithm with extraction using a mobile device camera
The use of screen-capture-resistant digital watermarks is a promising way to store information invisibly in a video stream for later retrieval by the user using a smartphone camera. However, the development of algorithms that implement this scenario is associated with the problem of balancing betwee...
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| Format: | Article |
| Language: | English |
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Samara National Research University
2023-12-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470615e.html |
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| author | O.O. Evsutin A.S. Melman D.I. Podbolotov A.G. Stankevich |
| author_facet | O.O. Evsutin A.S. Melman D.I. Podbolotov A.G. Stankevich |
| author_sort | O.O. Evsutin |
| collection | DOAJ |
| description | The use of screen-capture-resistant digital watermarks is a promising way to store information invisibly in a video stream for later retrieval by the user using a smartphone camera. However, the development of algorithms that implement this scenario is associated with the problem of balancing between the imperceptibility of embedding and robustness. A serious problem is the extraction of watermarks using a mobile device. Most people use the vertical positioning of the smartphone when shooting, which excludes the possibility of only marked video sequences entering the frame. The extraction algorithm first finds the screen area in the image and then extracts the watermark under various distortion conditions. This study proposes an approach to improve the efficiency of the algorithm for embedding digital watermarks into video data based on rectangular patterns, which provides resistance to screen shooting. The proposed approach to increasing the embedding imperceptibility provided an increase in the PSNR and SSIM values by 17.18 % and 7.90 %, respectively. The use of a neural network at the extraction stage reduced the BER value by 64.64 %. |
| format | Article |
| id | doaj-art-2988410be0594f9cb9007067c9958e87 |
| institution | Kabale University |
| issn | 0134-2452 2412-6179 |
| language | English |
| publishDate | 2023-12-01 |
| publisher | Samara National Research University |
| record_format | Article |
| series | Компьютерная оптика |
| spelling | doaj-art-2988410be0594f9cb9007067c9958e872025-01-30T10:59:19ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-12-0147697297910.18287/2412-6179-CO-1328An improved video watermarking algorithm with extraction using a mobile device cameraO.O. Evsutin0A.S. Melman1D.I. Podbolotov2A.G. Stankevich3National Research University Higher School of EconomicsNational Research University Higher School of EconomicsNational Research University Higher School of EconomicsNational Research University Higher School of EconomicsThe use of screen-capture-resistant digital watermarks is a promising way to store information invisibly in a video stream for later retrieval by the user using a smartphone camera. However, the development of algorithms that implement this scenario is associated with the problem of balancing between the imperceptibility of embedding and robustness. A serious problem is the extraction of watermarks using a mobile device. Most people use the vertical positioning of the smartphone when shooting, which excludes the possibility of only marked video sequences entering the frame. The extraction algorithm first finds the screen area in the image and then extracts the watermark under various distortion conditions. This study proposes an approach to improve the efficiency of the algorithm for embedding digital watermarks into video data based on rectangular patterns, which provides resistance to screen shooting. The proposed approach to increasing the embedding imperceptibility provided an increase in the PSNR and SSIM values by 17.18 % and 7.90 %, respectively. The use of a neural network at the extraction stage reduced the BER value by 64.64 %.https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470615e.htmldigital watermarkvideoneural networkscreen capture |
| spellingShingle | O.O. Evsutin A.S. Melman D.I. Podbolotov A.G. Stankevich An improved video watermarking algorithm with extraction using a mobile device camera Компьютерная оптика digital watermark video neural network screen capture |
| title | An improved video watermarking algorithm with extraction using a mobile device camera |
| title_full | An improved video watermarking algorithm with extraction using a mobile device camera |
| title_fullStr | An improved video watermarking algorithm with extraction using a mobile device camera |
| title_full_unstemmed | An improved video watermarking algorithm with extraction using a mobile device camera |
| title_short | An improved video watermarking algorithm with extraction using a mobile device camera |
| title_sort | improved video watermarking algorithm with extraction using a mobile device camera |
| topic | digital watermark video neural network screen capture |
| url | https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470615e.html |
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