@inproceedings{8a332eea184d47b694efd623ea39c767,
title = "Computer graphics classification based on Markov process model and boosting feature selection technique",
abstract = "In this paper, a novel technique is proposed to identify computer graphics by employing second-order statistics to capture the significant statistical difference between computer graphics and photographic images. Due to the wide availability of JPEG images, a JPEG 2-D array formed from the magnitudes of quantized block DCT coefficients is deemed a feasible input; however, a difference JPEG 2-D array tells a better story about image statistics with less influence from image content. Characterized by transition probability matrix (TPM), Markov process, widely used in digital image processing, is applied to model the difference JPEG 2-D arrays along horizontal and vertical directions. We resort to a thresholding technique to reduce the dimensionality of feature vectors formed from TPM. YCbCr color system is selected because of its demonstrated better performance in computer graphics classification than RGB color system. Furthermore, only Y and Cb components are utilized for feature generation because of the high correlation found in the features derived from Cb and Cr components. Finally, boosting feature selection technique is used to greatly reduce the dimensionality of features without sacrificing the machine learning based classification performance.",
keywords = "Boosting feature selection, Computer graphics classification, Markov process",
author = "Patchara Sutthiwan and Xiao Cai and Shi, {Yun Q.} and Hong Zhang",
year = "2009",
doi = "10.1109/ICIP.2009.5413344",
language = "English",
isbn = "9781424456543",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "2913--2916",
booktitle = "2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings",
address = "United States",
note = "2009 IEEE International Conference on Image Processing, ICIP 2009 ; Conference date: 07-11-2009 Through 10-11-2009",
}