Authorship Detection and Encoding for eBay Images

Liping Zhou, Wei-Bang Chen and Chengcui Zhang
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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

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2011, vol. 2, issue 1, 22-37

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.

Date: 2011
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