CWT and CS Algorithm Based Video Watermarking Using Audio Watermark

To increase the robustness of the scheme, we have developed an efficient video watermarking scheme to embed audio watermark based on optimal location. Before embed the audio watermark in to the digital video, the input video sequence is segmented into shots using discrete cosine transform. The segmented video shots are partitioned addicted to number of frames for the embedding process. In this process the PSNR value calculated for each frames and select the best frame by using CS algorithm. The audio data is utilized as a watermark to embed into the digital video sequence. Initially, the audio data is converted into 9 bit sequence and then it is encrypted. In watermarking embedding process, segmented video data is given to the Coiflets wavelet transform and the encrypted audio watermark data is embedded based on optimal location analysis that is carried out using CS algorithm. Later, the original audio data is extracted from the watermarked video using the designed watermarking extraction procedure. The performance of video watermarking is analyzed in terms of various attacks.