Detection of Metadata Tampering Through Discrepancy Between Image Content and Metadata Using Multi-task Deep Learning

CVPR Workshops, pp. 1872-1880, 2017.

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Abstract:

Image content or metadata editing software availability and ease of use has resulted in a high demand for automatic image tamper detection algorithms. Most previous work has focused on detection of tampered image content, whereas we develop techniques to detect metadata tampering in outdoor images using sun altitude angle and other meteor...More

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