COVERAGE — A novel database for copy-move forgery detection | IEEE Conference Publication | IEEE Xplore

COVERAGE — A novel database for copy-move forgery detection


Abstract:

We present COVERAGE - a novel database containing copy-move forged images and their originals with similar but genuine objects. COVERAGE is designed to highlight and addr...Show More

Abstract:

We present COVERAGE - a novel database containing copy-move forged images and their originals with similar but genuine objects. COVERAGE is designed to highlight and address tamper detection ambiguity of popular methods, caused by self-similarity within natural images. In COVERAGE, forged-original pairs are annotated with (i) the duplicated and forged region masks, and (ii) the tampering factor/similarity metric. For benchmarking, forgery quality is evaluated using (i) computer vision-based methods, and (ii) human detection performance. We also propose a novel sparsity-based metric for efficiently estimating forgery quality. Experimental results show that (a) popular forgery detection methods perform poorly over COVERAGE, and (b) the proposed sparsity based metric best correlates with human detection performance. We release the COVERAGE database to the research community.
Date of Conference: 25-28 September 2016
Date Added to IEEE Xplore: 19 August 2016
ISBN Information:
Electronic ISSN: 2381-8549
Conference Location: Phoenix, AZ, USA

References

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