A Robust Video Fingerprinting Algorithm Based on Centroid of Spatio-temporal Gradient Orientations
Ziqiang Sun, Yuesheng Zhu, Xiyao Liu, Liming Zhang · KSII Transactions on Internet and Information Systems · 2013
Video fingerprints generated from global features are usually vulnerable against general geometric transformations.In this paper, a novel video fingerprinting algorithm is proposed, in which a new spatio-temporal gradient is designed to represent the spatial and temporal information for each frame, and a new partition scheme, based on concentric circle and rings, is developed to resist the attacks efficiently.The centroids of spatio-temporal gradient orientations (CSTGO) within the circle and rings are then calculated to generate a robust fingerprint.Our experiments with different attacks have demonstrated that the proposed approach outperforms the state-of-the-art methods in terms of robustness and discrimination.