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Authorship Detection and Encoding for eBay Images

Authorship Detection and Encoding for eBay Images

Liping Zhou, Wei-Bang Chen, Chengcui Zhang
Copyright: © 2011 |Volume: 2 |Issue: 1 |Pages: 16
ISSN: 1947-8534|EISSN: 1947-8542|EISBN13: 9781613508510|DOI: 10.4018/jmdem.2011010102
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MLA

Zhou, Liping, et al. "Authorship Detection and Encoding for eBay Images." IJMDEM vol.2, no.1 2011: pp.22-37. http://doi.org/10.4018/jmdem.2011010102

APA

Zhou, L., Chen, W., & Zhang, C. (2011). Authorship Detection and Encoding for eBay Images. International Journal of Multimedia Data Engineering and Management (IJMDEM), 2(1), 22-37. http://doi.org/10.4018/jmdem.2011010102

Chicago

Zhou, Liping, Wei-Bang Chen, and Chengcui Zhang. "Authorship Detection and Encoding for eBay Images," International Journal of Multimedia Data Engineering and Management (IJMDEM) 2, no.1: 22-37. http://doi.org/10.4018/jmdem.2011010102

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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.

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