Multiplicative Update Rules for Nonnegative Matrix Factorization with Co-occurrence Constraints
- Steven K. Tjoa and K. J. Ray Liu
- IEEE Int. Conf. Acoustics, Speech, and Signal Processing, March 2010
- Download: Paper, Poster, BibTeX
@INPROCEEDINGS{tjoa2010icassp_cooccurrence,
title = "Multiplicative Update Rules for Nonnegative Matrix Factorization with Co-occurrence Constraints",
author = "Steven K. Tjoa and K. J. Ray Liu",
booktitle = "Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing",
address = "Dallas, TX",
year = "2010",
month = mar,
pages = "449--452"
};
Nonnegative matrix factorization (NMF) has become a popular tool for discovering structure in a variety of signals. When applied to a musical audio signal, NMF builds a set of dictionary atoms that represent the individual musical sources in the signal. To perform music transcription, we map the learned dictionary atoms to musical notes and beats. Continue Reading…
Harmonic Variable-Size Dictionary Learning for Music Source Separation
- Steven K. Tjoa, Matthew C. Stamm, W. Sabrina Lin, and K. J. Ray Liu
- IEEE Int. Conf. Acoustics, Speech, and Signal Processing, March 2010
- Download: Paper, Poster, BibTeX
@INPROCEEDINGS{tjoa2010icassp_harmonic,
title = "Harmonic Variable-Size Dictionary Learning for Music Source Separation",
author = "Steven K. Tjoa and Matthew C. Stamm and W. Sabrina Lin and K. J. Ray Liu",
booktitle = "Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing",
address = "Dallas, TX",
year = "2010",
month = mar,
pages = "413--416"
};
Methods that employ dictionary learning and sparse coding have become popular for discovering structure in acoustic signals. Unfortunately, these methods also share a common limitation. When there is significant spectral-temporal overlap among the dictionary atoms present in a signal, it becomes difficult for these methods to learn atoms properly. Continue Reading…
Posted March 22, 2010. Updated March 22, 2010.
Tags: dictionary-learning, ieee-icassp, k-svd, kjr-liu, mc-stamm, music, nmf, s-tjoa, source-separation, transcription, ws-lin
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Anti-Forensics of JPEG Compression
- Matthew C. Stamm, Steven K. Tjoa, W. Sabrina Lin, and K. J. Ray Liu
- IEEE Int. Conf. Acoustics, Speech, and Signal Processing, March 2010
- Download: Paper, BibTeX
@INPROCEEDINGS{stamm2010icassp_antiforensics,
title = "Anti-Forensics of {JPEG} Compression",
author = "Matthew C. Stamm and Steven K. Tjoa and W. Sabrina Lin and K. J. Ray Liu",
booktitle = "Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing",
address = "Dallas, TX",
year = "2010",
month = mar,
pages = "1694--1697"
};
Digital image forensics is a relatively new field that has only become popular within the last seven years. A newer body of research involves anti-forensics — methods of processing images that disguise evidence of earlier image processing or tampering. By altering the forensically significant properties in an image, existing image forensic systems may be rendered useless. Continue Reading…
Digital Image Source Coder Forensics via Intrinsic Fingerprints
- W. Sabrina Lin, Steven K. Tjoa, H. Vicky Zhao, and K. J. Ray Liu
- IEEE Trans. Information Forensics and Security, September 2009
- Download: Paper, BibTeX
@ARTICLE{lin2009tifs,
title = "Digital Image Source Coder Forensics via Intrinsic Fingerprints",
author = "W. Sabrina Lin and Steven K. Tjoa and H. Vicky Zhao and K. J. Ray Liu",
journal = "IEEE Trans. Information Forensics and Security",
year = "2009",
month = sep,
volume = "4",
number = "3",
pages = "460--475"
};
Multimedia forensic methods allow us to verify and maintain the integrity of our multimedia data. For example, we can embed a watermark into a digital image to bind the identity of its owner to the image itself. However, traditional forensic approaches such as watermarking are not applicable in many real-world scenarios, for example, when we do not have access to the original data. Continue Reading…
Transform Coder Classification for Digital Image Forensics
- Steven Tjoa, W. Sabrina Lin, and K. J. Ray Liu
- IEEE Int. Conf. Image Processing, September 2007
- Download: Paper, Presentation, BibTeX
@INPROCEEDINGS{tjoa2007icip,
title = "Transform Coder Classification for Digital Image Forensics",
author = "Steven Tjoa and W. Sabrina Lin and K. J. Ray Liu",
booktitle = "Proc. IEEE Int. Conf. on Image Processing",
address = "San Antonio, TX",
year = "2007",
month = sep,
volume = "6",
pages = {VI-105--VI-108},
};
Our TIFS paper was the first work to offer a unified forensic framework that can identify the compression method used upon an image. Among these compression methods are transform coders — compression methods that apply some form of entropy coding in the transform domain (e.g., via discrete cosine transform, wavelet transform, etc.). Continue Reading…
Image Source Coding Forensics Via Intrinsic Fingerprints
- W. Sabrina Lin, Steven Tjoa, H. Vicky Zhao, and K. J. Ray Liu
- IEEE Int. Conf. Multimedia and Expo, July 2007
- Download: Paper, BibTeX
@INPROCEEDINGS{lin2007icme,
title = "Image Source Coding Forensics via Intrinsic Fingerprints",
author = "W. Sabrina Lin and Steven Tjoa and H. Vicky Zhao and K. J. Ray Liu",
booktitle = "Proc. IEEE Int. Conf. Multimedia and Expo",
address = "Beijing, China",
year = "2007",
month = jul,
pages = "1127--1130",
};
The most popular image compression schemes in use today are lossy, i.e., compression imposes some irreversible distortion in the image in order to achieve a smaller file size. Because each compression method imposes different kinds of distortion, the distortion can act as a fingerprint of the compression method. Continue Reading…
Block Size Forensic Analysis in Digital Images
- Steven Tjoa, W. Sabrina Lin, H. Vicky Zhao, and K. J. Ray Liu
- IEEE Int. Conf. Acoustics, Speech, and Signal Processing, April 2007
- Download: Paper, Presentation, BibTeX
@INPROCEEDINGS{tjoa2007icassp,
title = "Block Size Forensic Analysis in Digital Images",
author = "Steven Tjoa and W. Sabrina Lin and H. Vicky Zhao and K. J. Ray Liu",
booktitle = "Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing",
year = "2007",
address = "Honolulu, HI",
month = apr,
volume = "1",
pages = {I-633--I-636}
};
Our work on image compression forensics attempts to identify the compression method used upon an image by analyzing its intrinsic fingerprint. Many popular image compression methods such as JPEG employ block processing. Therefore, to even begin forensic analysis for digital images, we must first address the presence of block processing on our image data. Continue Reading…