Image analysis – Pattern recognition – Classification
Reexamination Certificate
2007-01-18
2011-10-18
Mehta, Bhavesh (Department: 2624)
Image analysis
Pattern recognition
Classification
C382S176000, C382S180000, C382S181000, C382S190000, C382S191000, C382S192000, C382S195000, C382S206000, C382S207000, C345S418000, C345S501000, C345S581000
Reexamination Certificate
active
08041124
ABSTRACT:
Computer graphics may be detected in digital images by extracting a first set of features from an input digital image, extracting a second set of features from a prediction-error image derived from the input digital image, and applying a classification algorithm to the first set of features and the second set of features to determine if the combined sets of features indicate that the input digital image corresponds to computer graphics.
REFERENCES:
patent: 5805213 (1998-09-01), Spaulding et al.
patent: 6751363 (2004-06-01), Natsev et al.
patent: 2003/0118234 (2003-06-01), Tanaka et al.
patent: 2006/0257018 (2006-11-01), Shi et al.
patent: 2007/0009160 (2007-01-01), Loo et al.
patent: 2007/0177791 (2007-08-01), Shi et al.
Shi et al., Image Steganalysis Based on Moments of Characteristic Functions Using Wavelet Decomposition, Prediction-Error Image, and Neural Network, Jul. 2005, IEEE International Conference on Multimedia and Expo, pp. 1-4.
G. Xuan et al., “Steganalysis Based on Multiple Features Formed by Statistical Moments of Wavelet Characteristic Functions,” Information Hiding Workshop (IHW 05), Barcelona, Spain, Jun. 2005.
Y.Q. Shi et al., “Steganalysis Based on Moments of Characteristic Functions Using Wavelet Decomposition, Prediction-Error Image, and Neural Network,” IEEE International Conf. on Multimedia and Expo (ICME 05), Amsterdam, Netherlands, Jul. 2005.
C. Chen et al., “Statistical Moments Based Universal Steganalysis Using JPEG 2-D Array and 2-D Characteristic Function,” IEEE Int'l Conf. on Image Processing (ICIP 06), Atlanta, Georgia, Oct. 2006.
M. Weinberger et al., “LOCO-I: A Low Complexity Content-Based Lossless Image Compression Algorithm,” Proc. of IEEE Data Compression Conf., pp. 140-149, 1996.
International Preliminary Report on Patentability issued in related International Application No. PCT/US2008/051314.
Lyu, S., et al., “How Realistic is Photorealistic?”, IEEE Transactions on Signal Processing, vol. 53, No. 2, pp. 845-850, Feb. 2005.
Lyu, S., “Natural Image Statistics for Digital Image Forensics,” Ph.D. Thesis, Dartmouth College, Dartmouth, NH, USA, Chap. 2, Aug. 2005.
Cutzu, F., et al., “Estimating the Photorealism of Images: Distinguishing Paintings from Photographs,” Proc. 2003 IEEE Conf. on Computer Vision and Pattern Recognition, vol. 2, pp. 305-312, Jun. 2003.
Chen, Y., et al., “Automatic Classification of Photographs and Graphics,” 2006 IEEE Conf. on Multimedia and Expo, pp. 973-976, Jul. 2006.
PCT Search Report and Written Opinion, PCT/US2008/051314, Aug. 4, 2008.
Chen Wen
Shi Yun Qing
Connolly Bove & Lodge & Hutz LLP
Mehta Bhavesh
New Jersey Institute of Technology
Zeilberger Daniel
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