Filtering Image Spam using Image Semantics and Near-Duplicate Detection
Image spam has become the main form of spare, it is a problem crying out for solutions to effectively filter such spam nowadays. This paper proposes an image spare detection system, which is based on image semantics and nearduplicate detection, for solving the problems of current antiimage-spam technologies: low accuracy rate, difficultly recognizing image spam making use of obfuscation techniques and so on. The experimental results show that the system has better filtering effect than previous systems, with increasing more than 10％ in accuracy rate and better anti-obfuscation effect, and effectively solves the above-mentioned problems.
spam image semantics near-duplicate detection image spare filtering
Zhaoyang Qu Yingjin Zhang
School of Information Engineering Northeast Dianli University Jilin City, China
国际会议
长沙
英文
600-603
2009-10-10（万方平台首次上网日期，不代表论文的发表时间）