Physiologically-based detection of computer generated faces in video

2014 IEEE International Conference on Image Processing, ICIP 2014

Volumn , Issue , 2014, Pages 248-252

  Conotter, V ^a   Bodnari, E ^a   Boato, G ^a   Farid, H ^b  

^a UNIVERSITY OF TRENTO   (Italy)

^b Dartmouth College   (United States)

Author keywords

CGI; Photo Realism; Video Forensics

Indexed keywords

IMAGE PROCESSING;

CGI; COMPUTER GENERATED; COMPUTER GENERATED IMAGERY; FORENSIC TECHNIQUES; HUMAN FACES; PHOTO REALISM; PHYSIOLOGICAL SIGNALS; VIDEO FORENSICS;

PHYSIOLOGY;

EID: 84949928240     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIP.2014.7025049     Document Type: Conference Paper

References (13)

1. S. Lyu and H. Farid, "How realistic is photorealistic," IEEE Transactions on Signal Processing, vol. 53, no. 2, pp. 845-850, 2005.
2. Y. Wang and P. Moulin, "On discrimination between photorealistic and photographic images," in IEEE International Conference on Acoustics, Speech and Signal Processing, 2006, pp. II. 161-II. 164.
3. S. Dehnie, H. T. Sencar, and N. Memon, "Digital image forensics for identifying computer generated and digital camera images," in IEEE International Conference on Image Processing, October 2006, pp. 2313-2316.
4. N. Khanna, G. T. C. Chiu, J. P. Allebach, and E. J. Delp, "Forensic techniques for classifying scanner, computer generated and digital camera images," in IEEE International Conference on Acoustics, Speech and Signal Processing, 2008, pp. 1653-1656.
5. A. E. Dirik, S. Bayram, H. T. Sencar, and N. Memon, "New features to identify computer generated images," in IEEE International Conference on Image Processing, 2007, vol. 4, pp. IV. 433-IV. 436.
6. A. Gallagher and T. Chen, "Image authentication by detecting traces of demosaicing," in IEEE Computer Vision and Pattern Recognition Workshop, 2008, pp. 1-8.
7. T. T. Ng, S. F. Chang, J. Hsu, L. Xie, and M. P. Tsui, "Physics-motivated features for distinguishing photographic images and computer graphics," in ACM Multimedia, 2005, pp. 239-248.
8. J.-F. Lalonde and A. A. Efros, "Using color compatibility for assessing image realism," in IEEE International Conference on Computer Vision, 2007, pp. 1-8.
9. D.-T. Dang-Nguyen, G. Boato, and F. G. B. De Natale, "Discrimination between computer generated and natural human faces based on asymmetry information," in European Signal Processing Conference, 2012, pp. 1234-1238.
10. D.-T. Dang-Nguyen, G. Boato, and F. G. B. De Natale, "Identify computer generated characters by analysing facial expressions variation," in IEEE International Workshop on Information Forensics and Security, 2012, pp. 252-257.
11. H.-Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, and W. T. Freeman, "Eulerian video magnification for revealing subtle changes in the world," ACM Transactions on Graphics (Proc. SIGGRAPH 2012), vol. 31, no. 4, 2012.
12. D. G. Lowe, "Distinctive image features from scaleinvariant keypoints," International Journal of Computer Vision, vol. 2, no. 60, pp. 91-110, 2004.
13. R. Hartley and A. Zisserman, Multiple View Geometry in Computer Vision, Cambridge University Press, 2004.