.png){kind=icon}
返回
Joint coding and embedding techniques for multimedia fingerprinting
.png){kind=icon}
OA
AI
DOI：10.1109/TIFS.2006.873597.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Digital fingerprinting protects multimedia content from illegal redistribution by uniquely marking every copy of the content distributed to each user. The collusion attack is a powerful attack where several different fingerprinted copies of the same content are combined together to attenuate or even remove the fingerprints. One major category of collusion-resistant fingerprinting employs an explicit step of coding. Most existing works on coded fingerprinting mainly focus on the code-level issues and treat the embedding issues through abstract assumptions without examining the overall performance. In this paper, we jointly consider the coding and embedding issues for coded fingerprinting systems and examine their performance in terms of collusion resistance, detection computational complexity, and distribution efficiency. Our studies show that coded fingerprinting has efficient detection but rather low collusion resistance. Taking advantage of joint coding and embedding, we propose a permuted subsegment embedding technique and a group-based joint coding and embedding technique to improve the collusion resistance of coded fingerprinting while maintaining its efficient detection. Experimental results show that the number of colluders that the proposed methods can resist is more than three times as many as that of the conventional coded fingerprinting approaches.
Keyword:
collusion resistance
error correcting code
group-based fingerprinting
joint coding and embedding
multimedia fingerprinting
traitor tracing
期刊
IF:
8
论文数:
5.3K
被引数:
2.3W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏分享收藏Molecular characterisation of Shiga toxin-producing Escherichia coli O157 strains isolated in Poland
PREAI
分享收藏
查看更多内容