In extraction phase, SVD is performed on the watermarked video to extract the scrambled watermark block from key frames. In embedding process, singular values (SVs) of the scrambled watermark block are added to the SVs of specific frames, produce the watermarked video collectively. The secret image is scrambled using Fibonacci–Lucas transform.
The watermark is embedded only in specific frame of the changed scene in LH sub band. Based on the limitations of the scene changes the authentication keys are generated. The initial seeds of the Fibonacci sequence are used as authentication key for generating keyframes. In a specific frame, each scene is selected by using keyframes, which are generated by Fibonacci sequence. In this methodology, scene change detection technique is employed for identifying frequent changes in the scenes. This paper aims to introduce a new technique for video copyright namely Fibonacci based keyframe selection and scrambling for video watermarking in DWT–SVD. Video copyright is the technique for hiding sensitive data in digital video. Obtained results confirm its robustness against the image processing attacks, the enhancement attacks, and the frame-based attacks, in addition to dangerous video attacks such as MPEG-4 and H264-AVC compression and collusion attacks. To prove the robustness of the suggested method, different manipulations are applied to various anaglyph videos and several metrics are calculated. Finally, all the marked frames are restored from the marked mosaic images and they are recombined to the unmarked ones to reconstruct the marked anaglyph video. Second, the signature is inserted on each selected mosaic image using a hybrid embedding scheme based on the least significant bit and the discrete wavelet transform. In order to obtain a high level of invisibility, the signature will not be embedded in all mosaics but only in the ones which are not similar. First, several mosaic images are generated from every set of 25 frames of the original video and they are compared using a similarity measure. The choice of the mosaic as an embedding target guarantees robustness against collusion which considered as the most dangerous attack for any video watermarking technique. It embeds a signature in the selected mosaics generated from different groups of frames forming the original video. In this paper, an invisible and robust watermarking method dedicated to anaglyph 3D videos is proposed. In fact, collusion is usually not considered in the assessment of anaglyph 3D video watermarking schemes. Hence, proposing a watermarking technique robust against malicious attacks and especially against collusion becomes a crucial challenge for many researchers. The experimental results show that the proposed methodology is resilient to image processing, frame based attacks and also resolves the false positive problem as well as improves the robustness and imperceptibility of video and watermark.ĭigital watermarking is known as the most suitable solution to protect 3D videos. In the embedding process, the singular values of key frame are added to the Principal Component (PC) of the watermark bock. The SVD is applied to the key frames and watermark. The order of embedding the watermark block in each scene is different. The watermark image is divided into number of blocks based on the number of key frames selected in the scene. The key frames are effectively identified from each scene by fuzzy rules using entropy, absolute mean difference and absolute difference of frame variance of the video frames. The frequently changed scenes are identified by scene change detection algorithm. Proposed methodology focuses on the identification of non-redundant frames by introducing a fuzzy model for reducing the processing time. The prevailing algorithms countermeasure various attacks and they do not contemplate on the redundancy of frames in the video. This paper addresses the issues in video copyright using DWT and SVD.
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