基于非负矩阵分解的鲁棒哈希函数验证性研究

摘要

Matrix factorization is an effective tool to realize mass data processing and analysis. Non-negative matrix factorization is a kind of orthogonal transformation. It can realize non-negative decomposition in the condition that all elements are non-negative. The technology of robust Hash use the secret key to extract some robust features from multimedia content, then,these features are compressed to produce hash value. We can authenticate the authenticity of media content through comparing the Hash transited along with the media content with the Hash produced by receiver.%矩阵分解是实现大规模数据处理与分析的一种有效工具.矩阵的非负矩阵分解NMF(Non-Negative Matrix Factorization)变换是一种正交变换,是在矩阵中所有元素均为非负的条件下对其实现的非负分解.鲁棒哈希技术利用密钥提取多媒体内容的某些鲁棒特征,通过进一步压缩产生哈希值,通过比较跟随媒体内容传送来的哈希和接收端产生的哈希,实现对媒体内容的真实性认证.