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Multiple image copy detection and evolution visualisation using tree graphs.


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Allili, Mohand Said; Casemajor, Nathalie ORCID logoORCID: https://orcid.org/0000-0001-7901-4859 et Talbi, Aymen (2019). Multiple image copy detection and evolution visualisation using tree graphs. Multimedia Tools and Applications , vol. 78 . pp. 6253-6275. DOI: 10.1007/s11042-018-6350-5.

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Image copy detection is an important problem for several applications such as detecting forgery to enforce copyright protection and intellectual property. One of the important problems following copy detection, however, is the assessment of the type of modifications undergone by an original image to form its copies. In this work, we propose a method for quantifying some of these modifications when multiple copies of the same image are available. We also propose an algorithm to estimate temporal precedence between images (i.e., the order of creation of the copies). Using the estimated relations, a tree graph is then built to visualize the history of evolution of the original image into its copies. Our work is important for ensuring better interpretation of image copies after their detection. It also lays a new ground for enhancing image indexing, dissemination analysis and search on the Web.

Type de document: Article
Mots-clés libres: Image copy detection; Image transformation; Copy evolution graph
Centre: Centre Urbanisation Culture Société
Date de dépôt: 22 mars 2019 22:37
Dernière modification: 14 févr. 2022 20:35
URI: https://espace.inrs.ca/id/eprint/7998

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