Robust video hashing based on temporally informative representative images

This paper proposes a video hashing method for the purpose of digital rights management, media monitoring and tracking the distribution of illegally copied video. The proposed algorithm is applied to temporally representative images of a video. The resulting hashes are found experimentally to be highly robust to a range of attacks including noise, rotation, time shift, and frame dropping.