DWT-based robust video fingerprinting

Video fingerprints are short features extracted from a video sequence in order to uniquely identify that visual content and its replicas. The present paper introduces a new DWT-based robust video fingerprinting method. In this respect, a characteristic set of wavelet coefficients is used as fingerprint. Due to the inner DWT properties with respect to content preserving attacks (such as linear filtering, sharpening, geometric, conversion to grayscale, small rotations, contrast changes), good results in terms of probability of missed detection and probability of false alarm are obtained. The video corpus consists of 3 hours of heterogeneous original content and of its attacked versions (a total of 21 hours of video content).