陕西科技大学学报（自然科学版）2012，Vol.30Issue(1)：49-53,5.
基于DCT和神经网络的视频版权保护算法
VIDEO COPYRIGHT PROTECTION ALGORITHMS BASED ON DCT AND NEURAL NETWORK
张玉杰 1张媛媛1
作者信息
- 1. 陕西科技大学电气与信息工程学院,陕西西安710021
- 折叠
摘要
Abstract
In view of a series of problems for the current digital watermarking using in video copyright protection and anti-attacking* propose an effective algorithm based on the use of DCT(discrete cosine transform), digital watermarking, neural networks and encryption technologies. Firstly the algorithm uses Arnold transform at the original watermarking for scrambling processing. Embed the watermarking in the video based on neural network, and use it to achieve the blind extraction of watermarking. Experimental results show that the algorithm has good invisibility and robustness.关键词
版权保护/DCT/神经网络/视频/数字水印Key words
copyright protection/ DCT/ neural network} video/ digital watermarking分类
信息技术与安全科学引用本文复制引用
张玉杰,张媛媛..基于DCT和神经网络的视频版权保护算法[J].陕西科技大学学报（自然科学版）,2012,30(1):49-53,5.
