2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) 2017
DOI: 10.1109/dicta.2017.8227489
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Robust Video Watermarking Approach Based on Crowdsourcing and Hybrid Insertion

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Cited by 7 publications
(4 citation statements)
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“…However, to better improve performance, many watermarking algorithms use the hybrid domain that combines the advantages of the different transformations. Therefore, different techniques were proposed combining DCT and DWT [39,73] or combining different transforms with the spatial domain as suggested in [44].…”
Section: Robust Traditional Image and Video Watermarking Techniques C...mentioning
confidence: 99%
“…However, to better improve performance, many watermarking algorithms use the hybrid domain that combines the advantages of the different transformations. Therefore, different techniques were proposed combining DCT and DWT [39,73] or combining different transforms with the spatial domain as suggested in [44].…”
Section: Robust Traditional Image and Video Watermarking Techniques C...mentioning
confidence: 99%
“…The single value of photos is particularly stable in terms of image processing, and it contains the fundamental features of images rather than the visual elements. Because of these properties, SVD is frequently utilized in the field of robust video watermarking, and watermark information is often incorporated in a matrix of singular values to achieve good non-perception [87].…”
Section: Svd-based Watermarking Algorithmsmentioning
confidence: 99%
“…Singular Vector Decomposition (SVD) personifies the internal attributes of image in preference to the visual attributes. This feature of SVD makes it popular in the area of video watermarking and [18][19][20] the information is inserted in the singular value matrices that results in better robustness and quality of the video object. Himeur and Boukabou [19] adopted a fast gradient magnitude similarity deviation (GMSD) algorithm in order to identify the shot boundaries of the video sequence, and then representative key-frames can be extracted.…”
Section: Figure 1 Classification Of Video Watermarking Techniquesmentioning
confidence: 99%