Authorship detection and encoding for eBay images

Chapter

Abstract

  • © 2013 by IGI Global. All rights reserved. This paper describes a framework to detect authorship of eBay images. It contains three modules: editing style summarization, classification and multi-account linking detection. For editing style summarization, three approaches, namely the edge-based approach, the color-based approach, and the color probability approach, are proposed to encode the common patterns inside a group of images with similar editing styles into common edge or color models. Prior to the summarization step, an edge-based clustering algorithm is developed. Corresponding to the three summarization approaches, three classification methods are developed accordingly to predict the authorship of an unlabeled test image. For multi-account linking detection, to detect the hidden owner behind multiple eBay seller accounts, two methods to measure the similarity between seller accounts based on similar models are presented.
  • Authors

    Digital Object Identifier (doi)

    International Standard Book Number (isbn) 10

  • 1466629401
  • International Standard Book Number (isbn) 13

  • 9781466629400
  • Start Page

  • 20
  • End Page

  • 34