Title :
A Novel Watermark Algorithm for Non-Compressed Digital Video
Author :
Zhang, Lijing ; Li, Aihua
Author_Institution :
Inf. & Network Manage. Center, North China Electr. Power Univ., Baoding, China
Abstract :
A new video watermarking algorithm based-on BPN neural network has been proposed. Firstly make classification to the frame of the video, and secondly, according to DCT coefficient to determine the location which can embed watermark, and then use of the BPN neural networks to recover original information from the embedded image. Experimental results show that the proposed technique is robust against common attacks such as rotation, aspect ratio, and has good performance.
Keywords :
discrete cosine transforms; neural nets; video coding; watermarking; BPN neural network; DCT coefficient; noncompressed digital video; video watermarking algorithm; Computer science; Copyright protection; Data mining; Digital images; Discrete cosine transforms; Image coding; Neural networks; Robustness; Signal processing algorithms; Watermarking; BPN neural network; discrete cosine transform; video watermark;
Conference_Titel :
Education Technology and Computer Science (ETCS), 2010 Second International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6388-6
Electronic_ISBN :
978-1-4244-6389-3
DOI :
10.1109/ETCS.2010.394
