A Secured Frame Selection Based Video Watermarking Technique to Address Quality Loss of Data: Combining Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption

The advancement of Internet technologies has led to the availability of audios, images, and videos in different forms. The unauthorized users are exploiting the use of multimedia by transmitting them on various Internet sites to earn money unethically without the intervention of the original copyrig...

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Bibliographic Details
Published in:Security and communication networks 2021, Vol.2021, p.1-19
Main Authors: Sharma, Chirag, Amandeep, Bagga, Sobti, Rajeev, Lohani, Tarun Kumar, Shabaz, Mohammad
Format: Article
Language:English
Subjects:
Algorithms
Bit error rate
Decomposition
Encryption
Genetic algorithms
Internet
Motion pictures
Multimedia
Optimization algorithms
Real time
Research methodology
Signal processing
Signal quality
Signal to noise ratio
Watermarking
Wavelet transforms
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Summary:The advancement of Internet technologies has led to the availability of audios, images, and videos in different forms. The unauthorized users are exploiting the use of multimedia by transmitting them on various Internet sites to earn money unethically without the intervention of the original copyright holder. Watermarking is a technique used to hide the signal known as watermark inside multimedia data that is not visible to the intruder to manipulate any information. In this paper, a secured watermarking approach is developed to tackle issues related to copyright protection and ownership identification. A Secured Graph Based Transform, Singular Valued Decomposition, and Hyperchaotic Encryption hybrid techniques are proposed. The watermark cannot be embedded in every frame of the video as it adds to the size of the video and watermark can be easily retrieved by an intruder. Therefore, the frame selection algorithm has been proposed in the given work. Adding watermark in the frame adds to the challenge of quality loss. The quality loss is addressed in this work. Various attacks have been applied on the watermarked frames to calculate the performance of the proposed technique using quality metrics: Peak Signal to Noise Ratio, Structural Similarity Index, Normalized Correlation, and Bit Error Rate. The results indicate that the proposed technique is effective against various attack scenarios.
ISSN:1939-0114
1939-0122
DOI:10.1155/2021/5536170