DocumentCode :
1513655
Title :
Detecting and Extracting the Photo Composites Using Planar Homography and Graph Cut
Author :
Zhang, Wei ; Cao, Xiaochun ; Qu, Yanling ; Hou, Yuexian ; Zhao, Handong ; Zhang, Chenyang
Author_Institution :
Dept. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
Volume :
5
Issue :
3
fYear :
2010
Firstpage :
544
Lastpage :
555
Abstract :
With the advancement of photo and video editing tools, it has become fairly easy to tamper with photos and videos. One common way is to insert visually plausible composites into target images and videos. In this paper, we propose an automatic fake region detection method based on the planar homography constraint, and an automatic extraction method using graph cut with online feature/parameter selection. Two steps are taken in our method: 1) the targeting step, and 2) the segmentation step. First, the fake region is located roughly by enforcing the planar homography constraint. Second, the fake object is segmented via graph cut with the initialization given by the targeting step. To achieve an automatic segmentation, the optimal features and parameters for graph cut are dynamically selected via the proposed online feature/parameter selection. Performance of this method is evaluated on both semisimulated and real images. Our method works efficiently on images as long as there are regions satisfying the planar homography constraint, including image pairs captured by the approximately cocentered cameras, image pairs photographing planar or distant scenes, and a single image with duplications.
Keywords :
feature extraction; geometry; graph theory; image segmentation; object detection; automatic extraction method; automatic fake region detection; automatic segmentation; cocentered cameras; fake object segmentation; graph cut; online feature selection; online parameter selection; photo editing tools; photographing planar scenes; planar composites; planar homography; video editing tools; Cameras; Computer science; Forensics; Humans; Image segmentation; Layout; Materials science and technology; Permission; Software; Watermarking; Graph cut; online feature/parameter selection; photo composites; planar homography;
fLanguage :
English
Journal_Title :
Information Forensics and Security, IEEE Transactions on
Publisher :
ieee
ISSN :
1556-6013
Type :
jour
DOI :
10.1109/TIFS.2010.2051666
Filename :
5483133
Link To Document :
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