A New Database and Protocol for Image Reuse Detection

  • Furkan Isikdogan
  • İlhan Adıyaman
  • Alkım Almila Akdağ Salah
  • Albert Ali Salah
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9913)

Abstract

The use of visual elements of an existing image while creating new ones is a commonly observed phenomenon in digital artworks. The practice, which is referred to as image reuse, is not an easy one to detect even with the human eye, less so using computational methods. In this paper, we study the automatic image reuse detection in digital artworks as an image retrieval problem. First, we introduce a new digital art database (BODAIR) that consists of a set of digital artworks that re-use stock images. Then, we evaluate a set of existing image descriptors for image reuse detection, providing a baseline for the detection of image reuse in digital artworks. Finally, we propose an image retrieval method tailored for reuse detection, by combining saliency maps with the image descriptors.

Keywords

Image database Digital art Image retrieval Feature extraction DeviantArt Image reuse BODAIR 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Furkan Isikdogan
    • 1
    • 2
  • İlhan Adıyaman
    • 2
  • Alkım Almila Akdağ Salah
    • 3
  • Albert Ali Salah
    • 2
  1. 1.Department of Electrical and Computer EngineeringThe University of Texas at AustinAustinUSA
  2. 2.Department of Computer EngineeringBoğaziçi UniversityIstanbulTurkey
  3. 3.College of Communicationİstanbul Şehir UniversityIstanbulTurkey

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