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http://dx.doi.org/10.9717/kmms.2013.16.11.1281

Analysis of the Robustness and Discrimination for Video Fingerprints in Video Copy Detection  

Kim, Semin (한국과학기술원 정보통신공학과)
Ro, Yong Man (한국과학기술원 전기및전자공학과)
Publication Information
Journal of Korea Multimedia Society / v.16, no.11, 2013 , pp. 1281-1287 More about this Journal
Abstract
In order to prevent illegal video copies, many video fingerprints have been developed. Video fingerprints should be robust from various video transformations and have high discriminative powers. In general, video fingerprints are generated from three feature spaces such as luminance, gradient, and DCT coefficients. However, there is a few study for the robustness and discrimination according to feature spaces. Thus, we analyzed the property of each feature space by video copy detion task with the robustness and the discrimination of video fingerprints. We generated three video fingerprints from these feature spaces using a same algorithm. In our test, a video fingerprint. based on DCT coefficient outperformed others because the discrimination of it was higher.
Keywords
Video Fingerprint; Video Copy Detection;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 S. Wei, Y. Zhao, C. Zhu, and C. Xu, "Frame Fusion for Video Copy Detection," IEEE Trans. Circuits Syst. Video Technol, Vol. 21, No. 1, pp. 15-28, 2011.   DOI   ScienceOn
2 J. Law-To, Gout-Branet, O. Buisson, and N. Boujemaa, "Local Behaviours Labelling for Content Based Video Copy Detection," Int. Conf. Pattern Recognition, pp. 232-235, 2006.
3 M.M. Esmaeili, M. Fatourechi, and K.R. Ward, "A Robust and Fast Video Copy Detection System Using Content-Based Fingerprinting," IEEE Trans. Information Forensics and Security, Vol. 6 No. 1, pp. 213-226, 2011.
4 B. Coskun, B. Sankur, and N. Memon, "Spatio-Temporal Transform Based Video Hashing," IEEE Trans. Multimedia, Vol. 8, No. 6, pp. 1190-1208, 2006.   DOI   ScienceOn
5 D.G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int. Journal of Computer Vision, Vol. 60, No. 2, pp. 91-110, 2004.   DOI   ScienceOn
6 N. Dalal and B. Triggs, "Histograms of Oriented Gradients For Human Detection," IEEE Int. Conf. Computer Vision and Pattern Recognition, pp. 886-893, 2005.
7 Muscle-VCD-2007: A Live Benchmark for Video Copy Detection, https://www.rocq. inria. fr/imedia/civr-bench/, 2007.
8 C. Kim, "Content-based Image Copy Detection," Signal Processing: Image Communication, Vol. 18, No. 3, pp. 169-184, 2003.   DOI   ScienceOn
9 C. Kim and B. Vasudev, "Spatio-temporal Sequence Matching for Efficient Video Copy Detection," IEEE Trans. Circuits Syst. Video Technol., Vol. 15, No. 1, pp. 127-132. 2005.   DOI   ScienceOn
10 L. Chen and F.W.M. Stentiford, "Video Sequence Matching Based on Temporal Ordinal Measurement," Pattern Recognition Letters, Vol. 29, No. 13, pp. 1824-1831, 2008.   DOI   ScienceOn
11 A. Hampapur and R. Bolle. "Comparison of Sequence Matching Techniques for Video Copy Detection," Conf. Storage and Retrieval for Media Databases, pp. 194-201, 2002.
12 정관민, 김정엽, 현기호, 하영호, "비디오 정합을 위한 오디널 특징의 유일성 및 강건성 분석," 한국멀티미디어학회논문지, 제9권, 제5호, pp. 576-584, 2006년.   과학기술학회마을
13 현기호, "저작권보호를 위한 내용기반 비디오 복사검출의 비디오 정합 알고리즘," 한국멀티미디어학회논문지, 제11권, 제3호, pp. 315-322, 2008년.   과학기술학회마을
14 O. Kucktunca, M. Basttanb, U. Gudukbayb, and O. Ulusoyb, "Video Copy Detection Using Multiple Visual Cues and MPEG-7 Descriptors," Journal of Visual Communication and Image Representation, Vol. 21, No. 8, pp. 838- 849, 2010.   DOI   ScienceOn
15 G. Leon, H. Kalva, and B. Furht, "Video Identification Using Video Tomography, IEEE Int. Conf. Multimedia and Expo, pp. 1030-1033, 2009.