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  4. Image montage detection based on image segmentation and robust hashing techniques
 
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January 2022
Journal Article
Title

Image montage detection based on image segmentation and robust hashing techniques

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.
Author(s)
Steinebach, Martin  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Berwanger, Tiberius
Liu, Huajian  
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Journal
Electronic imaging. Online journal  
Conference
International Symposium on Electronic Imaging: Media Watermarking, Security, and Forensics 2022
DOI
10.2352/EI.2022.34.4.MWSF-339
Language
English
Fraunhofer-Institut für Sichere Informationstechnologie SIT  
Keyword(s)
  • Robust Hashing

  • Image Segmentation

  • Image Orientation

  • Image Re-Identification

  • Montage Detection

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