Spatio-Temporal Transform Based Video Hashing

Identification and verification of a video clip via its fingerprint find applications in video browsing, database search and security. The video is collapsed into a short fingerprint using a robust hash function based on signal processing operations. We propose two robust hash algorithms for video based on the Discrete Cosine Transform. The robustness and randomness properties of the proposed hash functions are investigated in detail. It is found that these hash functions are remarkably resistant to signal processing and transmission impairments, and therefore can be instrumental in building database search, broadcast monitoring and watermarking applications for video.