• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

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


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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Cite this article

[IEEE Style]
Z. Sun, Y. Zhu, X. Liu and L. Zhang, "A Robust Video Fingerprinting Algorithm Based on Centroid of Spatio-temporal Gradient Orientations," KSII Transactions on Internet and Information Systems, vol. 7, no. 11, pp. 2754-2768, 2013. DOI: 10.3837/tiis.2013.11.012.

[ACM Style]
Ziqiang Sun, Yuesheng Zhu, Xiyao Liu, and Liming Zhang. 2013. A Robust Video Fingerprinting Algorithm Based on Centroid of Spatio-temporal Gradient Orientations. KSII Transactions on Internet and Information Systems, 7, 11, (2013), 2754-2768. DOI: 10.3837/tiis.2013.11.012.