Combined audio and video watermarking using mel-frequency cepstra

Digital watermarking is a promising technique to help protect the data security and intellectual property right. In this paper a combined audio and video watermarking technique is proposed. Content-dependent information is extracted from the audio signal. The extraction uses a well-known feature set for audio, the melfrequency cepstra. The information is encoded and embedded into the video. The algorithm can be applied to the content authentication of audiovisual data in journalism, commerce and law.

[1]  Biing-Hwang Juang,et al.  Fundamentals of speech recognition , 1993, Prentice Hall signal processing series.

[2]  Ahmed H. Tewfik,et al.  Multiresolution scene-based video watermarking using perceptual models , 1998, IEEE J. Sel. Areas Commun..

[3]  Bernd Girod,et al.  Watermarking of uncompressed and compressed video , 1998, Signal Process..

[4]  Gabriela Csurka,et al.  Countermeasures for unintentional and intentional video watermarking attacks , 2000, Electronic Imaging.

[5]  Iwan Setyawan,et al.  Watermarking digital image and video data. A state-of-the-art overview , 2000 .

[6]  Dennis H. Klatt,et al.  Comparative study of several distortion measures for speech recognition , 1985, ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing.

[7]  Ralf Steinmetz,et al.  Combined video and audio watermarking: embedding content information in multimedia data , 2000, Electronic Imaging.

[8]  Narendra Ahuja,et al.  A scheme for joint watermarking and compression of video , 2000, Proceedings 2000 International Conference on Image Processing (Cat. No.00CH37101).

[9]  Reginald L. Lagendijk,et al.  Watermarking by DCT coefficient removal: a statistical approach to optimal parameter settings , 1999, Electronic Imaging.

[10]  G. C. Langelaar,et al.  Watermarking digital image and video data , 2000 .

[11]  Qiang Cheng,et al.  Identify Regions of Interest(ROI) for video watermark embedment with principle component analysis , 2000, ACM Multimedia.

[12]  Benoît Macq,et al.  Special issue on identification and protection of multimedia information , 1999 .