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ng:dataset

Tian-Tsong Ng, Shih-Fu Chang, Yu-Feng Hsu, Martin Pepeljugoski. Columbia Photographic Images and Photorealistic Computer Graphics Dataset. ADVENT Technical Report #205-2004-5 Columbia University, February 2005.

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Abstract

Passive-blind image authentication is a new area of research. A suitable dataset for experimentation and comparison of new techniques is important for the progress of the new research area. In response to the need for a new dataset, the Columbia Photographic Images and Photorealistic Computer Graphics Dataset is made open for the passive-blind image authentication research community. The dataset is composed of four component image sets, i.e., the Photorealistic Computer Graphics Set, the Personal Photographic Image Set, the Google Image Set, and the Recaptured Computer Graphics Set. This dataset, available from the Trustfoto website, will be for those who work on the photographic images (PIM) versus photorealistic computer graphics (PRCG) classification problem, which is a subproblem of the passive-blind image authentication research. In technical report below, we describe the design and the implementation of the dataset. The report will also serve as a user guide for the dataset

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Tian-Tsong Ng
Shih-Fu Chang
Yu-Feng Hsu

BibTex Reference

@TechReport{ng:dataset,
   Author = {Ng, Tian-Tsong and Chang, Shih-Fu and Hsu, Yu-Feng and Pepeljugoski, Martin},
   Title = {Columbia Photographic Images and Photorealistic Computer Graphics Dataset},
   Institution = {Columbia University},
   Month = {February},
   Year = {2005}
}

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