Relevant bibliographies by topics / Video Watermarking

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Video Watermarking'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 June 2025

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Journal articles on the topic "Video Watermarking"

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Yu, Xiaoyan, Chengyou Wang, and Xiao Zhou. "A Survey on Robust Video Watermarking Algorithms for Copyright Protection." Applied Sciences 8, no. 10 (2018): 1891. http://dx.doi.org/10.3390/app8101891.

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With the development and popularization of the Internet and the rise of various live broadcast platforms, digital videos have penetrated into all aspects of people’s life. At the same time, all kinds of pirated videos are also flooding the Internet, which seriously infringe the rights and interests of video copyright owners and hinder the healthy development of the video industry. Therefore, robust video watermarking algorithms for copyright protection have emerged as these times require. In this paper, we review robust video watermarking algorithms for copyright protection based on original videos and compressed videos. Basic models and properties of video watermarking algorithms are described, and the evaluation indexes corresponding to each property are also introduced. To help researchers understand various existing robust watermarking algorithms quickly, some basic information and the quantitative estimation of several performances are analyzed and compared. Finally, we discuss the challenges in the research of robust video watermarking algorithms, and give possible development directions for the future.
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Kulkarni, Nishad P., Aditya A. Patil, and Dr M. A. Gangarde. "Time-Domain Video Watermarking Algorithm for Data Security and Content Authentication." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 7485–95. http://dx.doi.org/10.22214/ijraset.2023.53489.

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Abstract: Video watermarking is an essential method employed to invisibly and reliably incorporate information into digital videos. Its primary purposes include copyright protection, content authentication, and ownership verification. With the increasing prevalence of digital media and the ease of video sharing online, safeguarding intellectual property rights and ensuring video content integrity have become crucial. Video watermarking is an essential method employed to invisibly and reliably incorporate information into digital videos. Its primary purposes include copyright protection, content authentication, and ownership verification. With the increasing prevalence of digital media and the ease of video sharing online, safeguarding intellectual property rights and ensuring video content integrity have become crucial. Robustness is a crucial aspect of video watermarking, as watermarked videos may be subjected to various attacks or modifications. Robust video watermarking techniques employ error correction codes, spread spectrum modulation, or cryptographic algorithms to ensure the resilience of watermarks against attacks such as compression, filtering, and geometric transformations. Various aspects and performance characteristics must be taken into account while developing an algorithm. It is necessary to evaluate performance indicators like NCC, PSNR, BER, WER, SSIM, VIFP, VMAF, and many more.
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Takale, Swapnil, and Dr Altaaf Mulani. "Video Watermarking System." International Journal for Research in Applied Science and Engineering Technology 10, no. 3 (2022): 105–7. http://dx.doi.org/10.22214/ijraset.2022.40539.

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Abstract: Advanced video watermarking may be a procedure for inserting extra information beside video flag. Inserted information is utilized for copyright proprietor recognizable proof. A number of video watermarking techniques are proposed. These methods misuse distinctive ways in arrange to implant a strong watermark and to preserve the first video flag constancy. In this paper, Computerized video watermarking strategies and assaults on watermarks are displayed.
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Hussein Tuama Hazim, Nawar Alseelawi, and Haider TH Salim ALRikabi. "A Novel Method of Invisible Video Watermarking Based on Index Mapping and Hybrid DWT-DCT." International Journal of Online and Biomedical Engineering (iJOE) 19, no. 04 (2023): 155–73. http://dx.doi.org/10.3991/ijoe.v19i04.37581.

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Watermarking is widely used in multimedia preservation and communication, which comprises, and is therefore not limited to, data security and validation. Security, readability, imperceptibility, and resilience are some of the key advantages of this technology. However, there are still certain issues that need to be addressed, such as the ability to withstand a variety of assaults without substantially affecting the quality and value of embedded data. Based on its operational domain, the watermarking technology may be divided into two groups: spatial and frequency watermarking. An index mapping-based watermarking approach for copyright protection of multi-media color videos is presented in this paper. We offer a hybrid discrete wavelet transform and discrete cosine transform (DCT) watermarking algorithm for digital video watermarking of a color video watermark. Peak signal to noise ratio (PSNR), similarity structure index measure (SSIM), have been used to analyze the distortion produced by watermarking. It is suggested that the proposed video watermarking method provides greater imperceptibility in conjunction with each other with the human visual system and it offers higher robustness against different attacks.
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Yang, Cheng Zhong, and Xiao Shi Zheng. "A Video Characteristics Watermarking Algorithm Based on Bees Evolutional Computation." Applied Mechanics and Materials 571-572 (June 2014): 796–802. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.796.

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Digital video watermarking is an efficient way of copyright protection. A robust watermarking was proposed that ccording to the video features using the evolutional method of video image classification processing, suitable for video performance and human visual characteristics of video watermarking, and put forward a kind of using Bees evolutional algorithm for video image classification processing of video watermarking algorithm. All the key frame numbers are converts to a binary matrix after data transformation. At last the binary image is produced. From this, the watermarking image reflects the video’s features, so it is effective to resist the watermark copy attack.
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Takale, Swapnil, and Dr Altaaf Mulani. "DWT-PCA based Video Watermarking." Journal of Electronics,Computer Networking and Applied Mathematics, no. 26 (November 17, 2022): 1–7. http://dx.doi.org/10.55529/jecnam.26.1.7.

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Progressed watermarking video may be a methodology for embedding additional data another to video salute. Embedded data is utilized for proprietor copyright or recognizable affirmation. It added up to approach for watermarking is shown in this System, by utilizing Discrete Wavelet Alter (DWT) and Crucial Component Examination (PCA). There are a number of watermarking strategies like DCT, DWT, and DWT-SVD, but there's a downside inside the watermarking to stand up to attacks. In this way the cutting edge progressed picture watermarking calculation is proposed which provide solid watermarking with insignificant whole of bending in case of ambushes. DWT offers flexibility and PCA makes a distinction in diminishing relationship among the wavelet coefficients.
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Mr., K. Sai Krishna1 &. Mr. G. V. Vinod2. "PERFORMANCE EVALUATION OF VIDEO WATERMARKING." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 7, no. 4 (2018): 279–86. https://doi.org/10.5281/zenodo.1218551.

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A digital watermark is added to a image/frame, is a more or less visible information in the form of a text, logo, audio etc. that has been added to the original image, audio or video. The added information can be more or less transparent to make it either easy or hard to recognize the watermark. Video watermarking is relatively an innovative tool that has been proposed to solve the problem of illegal manipulation and sharing of digital video. It is the process of embedding copyright information into video watermarking. In this paper, we use DWT (discrete wavelet transforms) and SVD (single vapour decomposition) for embedding video watermarking algorithm and then we use IDWT (inverse discrete wavelet transforms) for extracting the video watermarking. For this video embedded and extraction of watermarking process we include image watermarking to get easy video watermarking and better understanding. The performance of the proposed algorithm is analyzed by using MSE, PSNR by adding attacks.
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Lin, Guo Qian, Ning Li, and Li Ni Ma. "H.264-Based Video Watermarking Algorithm." Applied Mechanics and Materials 411-414 (September 2013): 954–59. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.954.

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Based on the research of image watermarking embedding, we extend our research to deal with the video watermarking. The H.264 standard is used widely and the latest video coding standard at the present. Make good use of the advantages of H.264, such as high compression rate etc., we proposed a low complexity video watermarking algorithm based on H.264. In the proposed algorithm, to weaken the attack of noise, we deal the watermarking image with DWT. And then, we use the Arnold technology to improve the security of watermarking detection. Because of not any modification is done to the data stream of video, only for the division of macro block model, so the quality of video is without of any influence by the algorithm we proposed. By the use of the algorithm, which not only is beneficial to the realization in real time, but also improve the robustness of watermarking, we can easily extract the watermarking image. The experimental results show that the suggested image watermarking algorithm and video watermarking algorithm have good invisibility and strong robustness, and the certain reference value to the actual application.
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Prof. Rutika Patel. "A Compressed Domain Robust Video Watermarking Resists Geometric Attack." International Journal of Scientific Research in Computer Science, Engineering and Information Technology 10, no. 5 (2024): 712–20. http://dx.doi.org/10.32628/cseit241051060.

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The widespread utilization of mobile devices and the proliferation of video content, facilitated by communication networks, has unfortunately led to issues such as data piracy, illegal usage, and unauthorized sharing. To address these challenges, digital watermarking emerges as a crucial tool, serving purposes such as authentication, maintaining integrity, and identifying rightful owners. In the realm of video watermarking, two primary categories exist: watermarking in the compressed domain and watermarking in the uncompressed domain. Compressed domain watermarking involves expedited data processing through partial video decoding, whereas uncompressed domain watermarking requires more time. This article proposes a novel video watermarking methodology designed specifically to withstand geometric attacks. The proposed method aims to dynamically embed watermarks within video content, thereby enhancing resilience against various geometric distortions. Geometric attacks, including scaling, rotation, cropping, and translation, pose significant challenges in digital watermarking and are thus a focal point of this research. The objective is to integrate this approach with complex video coding standards, leveraging compression domain techniques to fortify resistance against geometric attacks. Tests show that the suggested video watermarking system works well. Not only does it excel in safeguarding against geometric attacks, but it also mitigates perceptual quality degradation, thus ensuring a balance between robustness and visual fidelity. As the prevalence of video content continues to grow, robust watermarking techniques like the one presented here play a vital role in preserving intellectual property rights and ensuring the integrity of multimedia content in the digital age.
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Joseph, Irene, and Jyothi Mandala. "Comprehensive Review on Video Watermarking Security Threats, Challenges, and Its Applications." ECS Transactions 107, no. 1 (2022): 13833–38. http://dx.doi.org/10.1149/10701.13833ecst.

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Data is a crucial resource for every business, and it must be protected both during storage and transmission. One efficient way of securing data and transferring it is through digital watermarking, where data is hidden inside a medium like text, audio, or video. Video watermarking is visible or invisible embedded data on a video in a logo, text, or video copyright disclaimer. In this proposed paper, the goal is to analyze the characteristics of video watermarking algorithms and the different metrics used for them. It deals with the extent to which the different requirements can be fulfilled, taking into consideration the conflicts between them and the practical challenges of video watermarking in terms of attacks like geometric attacks and non-geometric attacks. It also focuses on the process of watermarking a video. Recent advances in data security indicate that employing a video watermarking technology to transmit private data will be an effective method of transmitting sensitive data.
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Dissertations / Theses on the topic "Video Watermarking"

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Khoshdani, Pedram. "Watermarking Video Game Textures." Thesis, Blekinge Tekniska Högskola, Sektionen för ingenjörsvetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4751.

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How amazing would it be to prevent illegal copies of computer games? Game developers work with the hope that they can make good profit out of their games, but when they know that they would not sell much they will be so disappointed and that is because once a few original copies of their games are released, soon or late, there will be illegal copies available in the market. Working on how to distinguish between a legal copy and an illegal copy is the general topic of this thesis.<br>In a game there are many images and textures used for graphical purposes. One of the most recent texture file extensions used in modern games to store Microsoft DirectDraw Surface which is the basic image unit in Microsoft DirectX graphics is DirectDraw Surface or DDS in short. In this thesis, it was attempted to embed as many bits (watermark/ message) as possible and retrieve the bits after embedding to mark the file in a distinguishable way. The result has been very promising under different circumstances.<br>+46723136160
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Wang, Yulin. "Image and video watermarking." Thesis, Queen Mary, University of London, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.416655.

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Damnjanovic, Ivan. "Watermarking of MPEG2 video streams." Thesis, Queen Mary, University of London, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.429990.

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Wang, Sha. "Video quality measurement using digital watermarking." Thesis, University of Ottawa (Canada), 2005. http://hdl.handle.net/10393/27076.

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A 3-level DWT (Discrete Wavelet Transform) based objective video quality measurement method is proposed based on semi-fragile digital watermarking. The watermark is embedded into the luminance components of the Intra frames of an MPEG-2 video stream, which can be treated as images. The degradation of the watermark is used to estimate the degradation of the cover work. A quantization method is used to embed the watermark. In the watermark embedding process, 10 quantization parameters are assigned to the 10 DWT decomposed blocks which are obtained by applying 3-level DWT to the target image. And the watermark is embedded with its vulnerability adjusted according to the different frequency distribution of the content of the cover work. Automatic control is used to adjust the watermark vulnerability which is controlled by the watermark bit portions and the quantization parameters. By referring to the ideal mapping curve which is the pre-calculated relationship between the quality in terms of the classical metrics and the True Detection Rates (TDR), the TDR and quality measurement (PSNR/wPSNR/Watson JND) relationship curve of any test image can be converged to the ideal mapping curve so that the quality of the degraded image can easily measured by checking the ideal mapping curve with the TDR computed during the watermark extraction. The TDR is calculated between the original watermark and the degraded watermark. After the watermark extraction, the degradation of the extracted watermark is used to estimate video/image quality in terms of the classical metrics. By comparing the video quality estimated by the proposed method with the calculated quality in terms of PSNR, wPSNR, and JND, it is clear that the proposed method can be used to evaluate video quality against compression with high accuracy.
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Dumitru, Corneliu Octavian. "Noise sources in robust uncompressed video watermarking." Phd thesis, Institut National des Télécommunications, 2010. http://tel.archives-ouvertes.fr/tel-00541755.

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Cette thèse traite de ce verrou théorique pour des vidéos naturelles. Les contributions scientifiques développées ont permis : 1. De réfuter mathématiquement le modèle gaussien en général adopté dans la littérature pour représenter le bruit de canal ; 2. D'établir pour la première fois, le caractère stationnaire des processus aléatoires représentant le bruit de canal, la méthode développée étant indépendante du type de données, de leur traitement et de la procédure d'estimation ; 3. De proposer une méthodologie de modélisation du bruit de canal à partir d'un mélange de gaussiennes pour une transformée aussi bien en cosinus discrète qu'en ondelette discrète et pour un large ensemble d'attaques (filtrage, rotation, compression, StirMark, ...). L'intérêt de cette approche est entre autres de permettre le calcul exact de la capacité du canal alors que la littérature ne fournissait que des bornes supérieure et inférieure. 4. Les contributions technologique concernent l'intégration et l'implémentions de ces modèles dans la méthode du tatouage IProtect brevetée Institut Télécom/ARTEMIS et SFR avec un gain en temps d'exécution d'un facteur 100 par rapport à l'état de l'art.
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George, Mercy. "Spread spectrum watermarking for images and video." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0006/MQ46574.pdf.

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Earl, John William. "Image and video watermarking with overcomplete transforms." Thesis, University of Cambridge, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.613316.

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Chammem, Afef. "Robust watermarking techniques for stereoscopic video protection." Phd thesis, Institut National des Télécommunications, 2013. http://tel.archives-ouvertes.fr/tel-00917964.

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The explosion in stereoscopic video distribution increases the concerns over its copyright protection. Watermarking can be considered as the most flexible property right protection technology. The watermarking applicative issue is to reach the trade-off between the properties of transparency, robustness, data payload and computational cost. While the capturing and displaying of the 3D content are solely based on the two left/right views, some alternative representations, like the disparity maps should also be considered during transmission/storage. A specific study on the optimal (with respect to the above-mentioned properties) insertion domain is also required. The present thesis tackles the above-mentioned challenges. First, a new disparity map (3D video-New Three Step Search - 3DV-NTSS) is designed. The performances of the 3DV-NTSS were evaluated in terms of visual quality of the reconstructed image and computational cost. When compared with state of the art methods (NTSS and FS-MPEG) average gains of 2dB in PSNR and 0.1 in SSIM are obtained. The computational cost is reduced by average factors between 1.3 and 13. Second, a comparative study on the main classes of 2D inherited watermarking methods and on their related optimal insertion domains is carried out. Four insertion methods are considered; they belong to the SS, SI and hybrid (Fast-IProtect) families. The experiments brought to light that the Fast-IProtect performed in the new disparity map domain (3DV-NTSS) would be generic enough so as to serve a large variety of applications. The statistical relevance of the results is given by the 95% confidence limits and their underlying relative errors lower than er<0.1
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Chammem, Afef. "Robust watermarking techniques for stereoscopic video protection." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2013. http://www.theses.fr/2013TELE0008.

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La multiplication des contenus stéréoscopique augmente les risques de piratage numérique. La solution technologique par tatouage relève ce défi. En pratique, le défi d’une approche de tatouage est d'atteindre l’équilibre fonctionnel entre la transparence, la robustesse, la quantité d’information insérée et le coût de calcul. Tandis que la capture et l'affichage du contenu 3D ne sont fondées que sur les deux vues gauche/droite, des représentations alternatives, comme les cartes de disparité devrait également être envisagée lors de la transmission/stockage. Une étude spécifique sur le domaine d’insertion optimale devient alors nécessaire. Cette thèse aborde les défis mentionnés ci-dessus. Tout d'abord, une nouvelle carte de disparité (3D video-New Three Step Search- 3DV-SNSL) est développée. Les performances des 3DV-NTSS ont été évaluées en termes de qualité visuelle de l'image reconstruite et coût de calcul. En comparaison avec l'état de l'art (NTSS et FS-MPEG) des gains moyens de 2dB en PSNR et 0,1 en SSIM sont obtenus. Le coût de calcul est réduit par un facteur moyen entre 1,3 et 13. Deuxièmement, une étude comparative sur les principales classes héritées des méthodes de tatouage 2D et de leurs domaines d'insertion optimales connexes est effectuée. Quatre méthodes d'insertion appartenant aux familles SS, SI et hybride (Fast-IProtect) sont considérées. Les expériences ont mis en évidence que Fast-IProtect effectué dans la nouvelle carte de disparité (3DV-NTSS) serait suffisamment générique afin de servir une grande variété d'applications. La pertinence statistique des résultats est donnée par les limites de confiance de 95% et leurs erreurs relatives inférieurs er &lt;0.1<br>The explosion in stereoscopic video distribution increases the concerns over its copyright protection. Watermarking can be considered as the most flexible property right protection technology. The watermarking applicative issue is to reach the trade-off between the properties of transparency, robustness, data payload and computational cost. While the capturing and displaying of the 3D content are solely based on the two left/right views, some alternative representations, like the disparity maps should also be considered during transmission/storage. A specific study on the optimal (with respect to the above-mentioned properties) insertion domain is also required. The present thesis tackles the above-mentioned challenges. First, a new disparity map (3D video-New Three Step Search - 3DV-NTSS) is designed. The performances of the 3DV-NTSS were evaluated in terms of visual quality of the reconstructed image and computational cost. When compared with state of the art methods (NTSS and FS-MPEG) average gains of 2dB in PSNR and 0.1 in SSIM are obtained. The computational cost is reduced by average factors between 1.3 and 13. Second, a comparative study on the main classes of 2D inherited watermarking methods and on their related optimal insertion domains is carried out. Four insertion methods are considered; they belong to the SS, SI and hybrid (Fast-IProtect) families. The experiments brought to light that the Fast-IProtect performed in the new disparity map domain (3DV-NTSS) would be generic enough so as to serve a large variety of applications. The statistical relevance of the results is given by the 95% confidence limits and their underlying relative errors lower than er&lt;0.1
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Dumitru, Corneliu Octavian. "Noise sources in robust uncompressed video watermarking." Electronic Thesis or Diss., Evry, Institut national des télécommunications, 2010. http://www.theses.fr/2010TELE0001.

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Cette thèse traite de ce verrou théorique pour des vidéos naturelles. Les contributions scientifiques développées ont permis : 1. De réfuter mathématiquement le modèle gaussien en général adopté dans la littérature pour représenter le bruit de canal ; 2. D’établir pour la première fois, le caractère stationnaire des processus aléatoires représentant le bruit de canal, la méthode développée étant indépendante du type de données, de leur traitement et de la procédure d’estimation ; 3. De proposer une méthodologie de modélisation du bruit de canal à partir d’un mélange de gaussiennes pour une transformée aussi bien en cosinus discrète qu’en ondelette discrète et pour un large ensemble d’attaques (filtrage, rotation, compression, StirMark, …). L’intérêt de cette approche est entre autres de permettre le calcul exact de la capacité du canal alors que la littérature ne fournissait que des bornes supérieure et inférieure. 4. Les contributions technologique concernent l’intégration et l’implémentions de ces modèles dans la méthode du tatouage IProtect brevetée Institut Télécom/ARTEMIS et SFR avec un gain en temps d’exécution d’un facteur 100 par rapport à l’état de l’art<br>The thesis is focus on natural video and attack modelling for uncompressed video watermarking purposes. By reconsidering a statistical investigation combining four types of statistical tests, the thesis starts by identifying with accuracy the drawbacks and limitations of the popular Gaussian model in watermarking applications. Further on, an advanced statistical approach is developed in order to establish with mathematical rigour: 1. That a mathematical model for the original video content and/or attacks exists; 2. The model parameters. From the theoretical point of view, this means to prove for the first time the stationarity of the random processes representing the natural video and/or the watermarking attacks. These general results have been already validated under applicative and theoretical frameworks. On the one hand, when integrating the attack models into the IProtect watermarking method patented by Institut Télécom/ARTEMIS and SFR, a speed-up by a factor of 100 of the insertion procedure has been obtained. On the other hand, accurate models for natural video and attacks allowed the increasing of the precision in the computation of some basic information theory entities (entropies and capacity)
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Books on the topic "Video Watermarking"

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A, Hanjalic, ed. Image and video databases: Restoration, watermarking, and retrieval. Elsevier Science B. V., 2000.

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Hartung, Frank. Digital watermarking and fingerprinting of uncompressed and compressed video. Shaker Verlag, 2000.

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Mohammad, Al-Haj Ali, ed. Advanced techniques in multimedia watermarking: Image, video, and audio applications. Information Science Reference, 2010.

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Al-Haj, Ali Mohammad. Advanced techniques in multimedia watermarking: Image, video, and audio applications. Information Science Reference, 2010.

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Su, Karen. Digital video watermarking principles for resistance to collusion and interpolation attacks. National Library of Canada, 2001.

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Kothari, Ashish M., Vedvyas Dwivedi, and Rohit M. Thanki. Watermarking Techniques for Copyright Protection of Videos. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-92837-1.

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Digital Image and Video Watermarking and Steganography. IntechOpen, 2019.

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Hanjalic, A., J. Biemond, R. L. Lagendijk, G. C. Langelaar, and P. M. B. van Roosmalen. Image and Video Databases: Restoration, Watermarking and Retrieval. Elsevier Science & Technology Books, 2000.

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Digital Image and Video Watermarking and Steganography [Working Title]. IntechOpen, 2018. http://dx.doi.org/10.5772/intechopen.75155.

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Jawad, Qassam Zainab, and George Loay E. Fast Video Watermarking in Sprite Blocks Using Mean Modulation. LAP Lambert Academic Publishing, 2015.

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Book chapters on the topic "Video Watermarking"

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Nematollahi, Mohammad Ali, Chalee Vorakulpipat, and Hamurabi Gamboa Rosales. "Video Watermarking." In Digital Watermarking. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2095-7_5.

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Lucas, Laurent, Céline Loscos, and Yannick Remion. "Stereoscopic Watermarking." In 3D Video. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118761915.ch13.

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Park, Hyun, Sung Hyun Lee, and Young Shik Moon. "Adaptive Video Watermarking Utilizing Video Characteristics in 3D-DCT Domain." In Digital Watermarking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922841_32.

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Behseta, Sam, Charles Lam, Joseph E. Sutton, and Robert L. Webb. "A Time Series Intra-Video Collusion Attack on Frame-by-Frame Video Watermarking." In Digital Watermarking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_3.

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Doërr, Gwenaël, and Jean-Luc Dugelay. "Secure Video Watermarking via Embedding Strength Modulation." In Digital Watermarking. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24624-4_26.

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Xiao, Shangqin, Hefei Ling, Fuhao Zou, and Zhengding Lu. "Secret Sharing Based Video Watermark Algorithm for Multiuser." In Digital Watermarking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_26.

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Xu, Dawen, Rangding Wang, and Jicheng Wang. "Video Watermarking Based on Spatio-temporal JND Profile." In Digital Watermarking. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04438-0_28.

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Gong, Shengrong, Chunping Liu, Yi Ji, Baojiang Zhong, Yonggang Li, and Husheng Dong. "Image Watermarking." In Advanced Image and Video Processing Using MATLAB. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-77223-3_9.

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Kong, Xiangwei, Yu Liu, and Huajian Liu. "Adaptive Video Watermarking Scheme." In Advances in Multimedia Information Processing — PCM 2001. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/3-540-45453-5_124.

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Liu, Zhongxuan, Shiguo Lian, Ronggang Wang, and Zhen Ren. "Desynchronization in Compression Process for Collusion Resilient Video Fingerprint." In Digital Watermarking. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11922841_25.

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Conference papers on the topic "Video Watermarking"

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Berchtold, Waldemar, Marcel Schäfer, Huajian Liu, et al. "Video game watermarking." In IS&T/SPIE Electronic Imaging, edited by Adnan M. Alattar, Nasir D. Memon, and Chad D. Heitzenrater. SPIE, 2013. http://dx.doi.org/10.1117/12.2005851.

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Elavarasan, S. R., and S. Metilda Florence. "Forensic Video Watermarking." In 2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS). IEEE, 2023. http://dx.doi.org/10.1109/icacrs58579.2023.10404733.

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Vural, Sadi, Hiromi Tomii, and Hironori Yamauchi. "Robust video watermarking using additional watermarking techniques." In Optics & Photonics 2005, edited by Mark S. Schmalz. SPIE, 2005. http://dx.doi.org/10.1117/12.615602.

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Sridevi, T., B. Krishnaveni, V. Vijaya Kumar, and Y. Rama Devi. "A video watermarking algorithm for MPEG videos." In the 1st Amrita ACM-W Celebration. ACM Press, 2010. http://dx.doi.org/10.1145/1858378.1858413.

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Biswas, Satyendra N., Touhidul Hasan, Shuvashis DasGupta, et al. "Compressed video watermarking technique." In 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2013. http://dx.doi.org/10.1109/i2mtc.2013.6555723.

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"Video coding and watermarking." In 2014 4th International Conference on Image Processing Theory, Tools and Applications (IPTA). IEEE, 2014. http://dx.doi.org/10.1109/ipta.2014.7001948.

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Jing, Jin, and Yong L. Guan. "Robust compressed video watermarking." In Electronic Imaging, edited by Ping W. Wong and Edward J. Delp III. SPIE, 2000. http://dx.doi.org/10.1117/12.385002.

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Chung, Yuk Ying, Fang Fei Xu, and Faith Choy. "Development of Video Watermarking for MPEG2 video." In TENCON 2006 - 2006 IEEE Region 10 Conference. IEEE, 2006. http://dx.doi.org/10.1109/tencon.2006.343843.

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Wang, Yilong, Daofu Gong, Zhenyu Li, and Fenlin Liu. "A Fragile Watermarking Algorithm Based on Multiple Watermarking." In IVSP 2022: 2022 4th International Conference on Image, Video and Signal Processing. ACM, 2022. http://dx.doi.org/10.1145/3531232.3531239.

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Wolf, Patrick, Enrico Hauer, and Martin Steinebach. "The video watermarking container: efficient real-time transaction watermarking." In Electronic Imaging 2008, edited by Edward J. Delp III, Ping Wah Wong, Jana Dittmann, and Nasir D. Memon. SPIE, 2008. http://dx.doi.org/10.1117/12.766544.

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Reports on the topic "Video Watermarking"

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Mobasseri, Bijan G., Yimin Zhang, Moeness Amin, Behzad M. Dogahe, and Christopher Fleming. Digital Watermarking of Autonomous Vehicles Imagery and Video Communication. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439582.

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