Perceptual hashing is a one-directional mapping from multimedia data sets to the abstract sets

which provides a safe and reliable tool for identification

retrieval

and authentication of multimedia digital contents.This paper proposes a video perceptual hashing algorithm fuseing visual perception and spatiotemporal features.The algorithm first randomly divides each video frame into a number of overlapping blocks

and then calculates the average brightness (AB) of each block.While spatial features are described by differences of the AB among blocks in the same frame

the features in time domain is represented by the differences of the same bock across time.Finally

the two features are quantized and fused to generate the unique id

i.e.abstract hashing for each video.The experimental results show that the features are robust

discriminative

and can effectively detect and accurately locate video tampering using correlation analysis.