Identifying computer graphics from digital photographs

Image analysis – Pattern recognition – Classification

Reexamination Certificate

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

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.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Identifying computer graphics from digital photographs does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Identifying computer graphics from digital photographs, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Identifying computer graphics from digital photographs will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-4282599

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.