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Authorship Detection and Encoding for eBay Images

Author

Listed:
  • Liping Zhou

    (The University of Alabama at Birmingham, USA)

  • Wei-Bang Chen

    (The University of Alabama at Birmingham, USA)

  • Chengcui Zhang

    (The University of Alabama at Birmingham, USA)

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.

Suggested Citation

  • Liping Zhou & Wei-Bang Chen & Chengcui Zhang, 2011. "Authorship Detection and Encoding for eBay Images," International Journal of Multimedia Data Engineering and Management (IJMDEM), IGI Global, vol. 2(1), pages 22-37, January.
  • Handle: RePEc:igg:jmdem0:v:2:y:2011:i:1:p:22-37
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