Color features for image fingerprinting

  • Authors:

  • Marios A. Gavrielides;Elena Sikudova;Dimitris Spachos;Ioannis Pitas

  • Affiliations:

  • AIIA Laboratory, Computer Vision and Image Processing Group, Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;AIIA Laboratory, Computer Vision and Image Processing Group, Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;AIIA Laboratory, Computer Vision and Image Processing Group, Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece;AIIA Laboratory, Computer Vision and Image Processing Group, Dept. of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

  • Venue:
  • SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Image fingerprinting systems aim to extract unique and robust image descriptors (in analogy to human fingerprints). They search for images that are not only perceptually similar but replicas of an image generated through mild image processing operations. In this paper, we examine the use of color descriptors based on a 24-color quantized palette for image fingerprinting. Comparisons are provided between different similarity measures methods as well as regarding the use of color-only and spatial chromatic histograms.