Abstract
We provide a method for montage recognition allowing to re-identify background images and inserted objects. It can also be used as a highly robust method for image re-identification beyond montages. To achieve this, we combine three mechanisms: segmentation, orientation detection and robust hashing. We show that this approach provides detection rates similar to more complex algorithms based on feature matching but is significantly more efficient with respect to storage requirements and computational time. We provide test results for various attacks like rotation, scaling, cropping, addition of noise and brightness changes.
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