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RISS 인기검색어
- 검색키워드
- 저자 : Kalker, T. (검색결과 3 건)
- 무료
- 기관 내 무료
- 유료
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Robust Video Fingerprinting Based on Symmetric Pairwise Boosting
Sunil Lee,Yoo, C.D.,Kalker, T. IEEE 2009 IEEE transactions on circuits and systems for vide Vol.19 No.9
<P>This paper proposes a video fingerprinting method based on a novel binary fingerprint obtained using a feature selection algorithm called the symmetric pairwise boosting (SPB). The binary fingerprints are obtained by filtering and quantizing perceptually significant features extracted from an input video clip. The SPB algorithm, which is a generalization of the conventional asymmetric pairwise boosting (APB), selects appropriate filters and quantizers from a class of candidate filters and quantizers in such a way that perceptually similar and dissimilar pairs of video clips are correctly classified as matching and non-matching pairs, respectively. The binary form of the novel fingerprint makes it conducive to an efficient database search, and the experimental results show that the proposed method outperforms the APB-based video fingerprinting methods in terms of both robustness and discriminability.</P>
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Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform
Sunil Lee,Yoo, C.D.,Kalker, T. IEEE 2007 IEEE transactions on information forensics and sec Vol.2 No.3
<P>This paper proposes a high capacity reversible image watermarking scheme based on integer-to-integer wavelet transforms. The proposed scheme divides an input image into nonoverlapping blocks and embeds a watermark into the high-frequency wavelet coefficients of each block. The conditions to avoid both underflow and overflow in the spatial domain are derived for an arbitrary wavelet and block size. The payload to be embedded includes not only messages but also side information used to reconstruct the exact original image. To minimize the mean-squared distortion between the original and the watermarked images given a payload, the watermark is adaptively embedded into the image. The experimental results show that the proposed scheme achieves higher embedding capacity while maintaining distortion at a lower level than the existing reversible watermarking schemes.</P>
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Pairwise Boosted Audio Fingerprint
Dalwon Jang,Yoo, C.D.,Sunil Lee,Sungwoong Kim,Kalker, T. IEEE 2009 IEEE transactions on information forensics and sec Vol.4 No.4
<P>A novel binary audio fingerprint obtained by filtering and then quantizing the spectral centroids is proposed. A feature selection algorithm, coined pairwise boosting (PB), is used to determine the filters and quantizers by casting the fingerprinting problem of identifying a query audio clip into a binary classification problem. The PB algorithm selects the filters and quantizers which lead to accurate classification of matching and nonmatching audio pairs: a matching pair is an audio pair that should be classified as being identical, and a nonmatching pair is a pair that should be classified as being different. By iteratively reducing the classification error of both matching and nonmatching pairs, the PB algorithm improves both the robustness and discriminating ability. In our experiments, the proposed fingerprint outperformed previously reported binary fingerprints in terms of robustness and discriminating ability. In the experiment, we compared the performances of a number of distance measures.</P>
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