Robust video fingerprinting via compressed sensing
采用压缩传感的鲁棒的视频指纹方案

Video fingerprinting techniques have many applications in video retrieval, identification, and security. A robust video fingerprinting based on compressed sensing is proposed. In video fingerprinting, video key clips extracted are sampled by using the sparse and safety of compressed sensing. Each matrix sample is made into blocks, from which several big energy blocks are made into a new feature matrix. The singular value is used as code for the fingerprinting by SVD from this new feature matrix. Furthermore, an efficient two step match algorithm is proposed to using a search and match approximation, which improves video searching speed. The experimental results show that the proposed video fingerprinting is accurate in identifying different video clips, robust against common video processing, and can retrieve videos in real-time.