A Robust Video Fingerprinting Algorithm Based on Centroid of Spatio-temporal Gradient Orientations

• Ziqiang Sun,
• Yuesheng Zhu,
• Xiyao Liu,
• Liming Zhang,

Vol. 7, No. 11, November 28, 2013
10.3837/tiis.2013.11.012, Download Paper (Free):

• Content-based copy detection
• video fingerprint
• copyright control
• spatio-temporal gradient
• concentric rings

Abstract

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.

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