Perceptual Hashing of Video Content Based on Differential Block Similarity

Abstract

Each multimedia content can exist in different versions, e.g. different compression rates. Thus, cryptographic hash functions cannot be used for multimedia content identification or verification as they are sensitive to bit flips. In this case, perceptual hash functions that consider perceptual similarity apply. This article describes some of the different existing approaches for video data. One algorithm based on spatio-temporal color difference is investigated. The article shows how this method can be improved by using a simple similarity measure. We analyze the performance of the new method and compare it with the original method. The proposed algorithm shows increased reliability of video identification both in robustness and discriminating capabilities.