Title :
A novel 3D wavelet-based method for blind digital video watermarking
Author :
Zamanidoost, Amir ; Mirzakuchaki, Sattar ; Atani, Reza Ebrahimi ; Hesabi, Zhinoos Razavi ; Ayat, Mehdi
Author_Institution :
Dept. of Electr. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
In this paper, a blind video watermarking algorithm based on 3D wavelet transform and Human Visual System (HVS) model is proposed. The proposed method is based on extracting temporal characteristics of video signal and using it to adjust spatial features of each frame. These frames are designed based on HVS model embed the message. Then the message will be extracted from video watermarked through blind way. Experimental results verifies the robustness of this method against frame swapping, frame dropping, frame averaging and MJPEG and MPEG2 compression.
Keywords :
video coding; watermarking; wavelet transforms; 3D wavelet transform; HVS model; blind digital video watermarking; human visual system; spatial feature; temporal characteristic; Electrical engineering; Image coding; Pixel; Robustness; Transform coding; Transforms; Watermarking;
Conference_Titel :
Industrial Electronics & Applications (ISIEA), 2010 IEEE Symposium on
Conference_Location :
Penang
Print_ISBN :
978-1-4244-7645-9
DOI :
10.1109/ISIEA.2010.5679471
