Authorship Detection and Encoding for eBay Images

  • Authors:
  • Liping Zhou;Wei-Bang Chen;Chengcui Zhang

  • Affiliations:
  • The University of Alabama at Birmingham, USA;The University of Alabama at Birmingham, USA;The University of Alabama at Birmingham, USA

  • Venue:
  • International Journal of Multimedia Data Engineering & Management
  • Year:
  • 2011

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Abstract

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.