Abstract
In this paper, we propose a discriminative image hashing scheme based on Region of Interest (ROI) in order to increase the discriminative capability under image content modifications, while the robustness to content preserving operations is also provided. In our scheme, the image hash is generated by column-wisely combining the fine local features from ROI and the coarse global features from a coarse represented image. Particularly, a small malicious manipulation in an image can be detected and can cause a totally different hash. The experimental results confirm the capabilities of both robustness and discrimination.
This work was supported by Pukyong National University Research Fund in 2009(PK-2009-50).
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Ou, Y., Sur, C., Rhee, K.H. (2010). Discriminative Image Hashing Based on Region of Interest. In: Boll, S., Tian, Q., Zhang, L., Zhang, Z., Chen, YP.P. (eds) Advances in Multimedia Modeling. MMM 2010. Lecture Notes in Computer Science, vol 5916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11301-7_72
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DOI: https://doi.org/10.1007/978-3-642-11301-7_72
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11300-0
Online ISBN: 978-3-642-11301-7
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