%0 Conference Proceedings
%F hsu:icme07
%A Hsu, Yu-Feng
%A Chang, Shih-Fu
%T Image Splicing Detection Using Camera Response Function Consistency and Automatic Segmentation
%B International Conference on Multimedia and Expo (ICME)
%C Beijing, China
%X We propose a fully automatic spliced image detection method based on consistency checking of camera characteristics among different areas in an image. A test image is first segmented into distinct areas. One camera response function (CRF) is estimated from each area using geometric invariants from locally planar irradiance points (LPIPs). To classify a boundary segment between two areas as authentic or spliced, CRF cross fitting scores and area intensity features are computed and fed to SVM-based classifiers. Such segment-level scores are further fused to form the image-level decision. Tests on both the benchmark data set and an unseen high-quality spliced data set reach promising performance levels with 70% precision and 70% recall
%U http://www.ee.columbia.edu/dvmm/publications/07/Jessie_icme07.pdf
%8 July
%D 2007