Discriminative image hashing based on region of interest

Authors:
Yang Ou;Chul Sur;Kyung Hyune Rhee
Affiliations:
Department of Information Security, Pukyong National University, Busan, Republic of Korea;Department of Computer Science, Pukyong National University;Division of Electronic, Computer and Telecommunication Engineering, Pukyong National University
Venue:
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Year:
2010

Citing 3
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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.