感知哈希综述

An Overview of Perceptual Hashing

感知哈希(Perceptual Hashing),是多媒体数据集到感知摘要集的一类单向映射,即将具有相同感知内容的多媒体数字表示唯一地映射为一段数字摘要,并满足感知鲁棒性和安全性.感知哈希为多媒体内容识别、检索、认证等信息服务方式提供安全可靠的技术支撑.本文在人类感知模型(Human Perceptual Model)的基础上,明确了感知哈希的定义、性质和一般性描述.并对目前感知哈希的典型算法、应用模式以及评测基准等进行了综述,指出了感知哈希未来的研究方向.

Perceptual hashing is a class of one way mappings from multimedia presentations to a perceptual hash value in terms of their perceptual content. It features the perceptual robustness and security. Perceptual hashing could be applied to multimedia content identification, retrieval, authentication, etc. On the basis of the human perceptual model, definition of perceptual hashing is proposed in this paper, as well as the properties and the general descriptions. Its typical algorithm reviews, application scenarios and benchmark are presented. The prospect of perceptual hashing algorithms and techniques is also discussed.