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1 January 2009 Video frame-matching algorithm using dynamic programming
Young-Yoon Lee, Chang-Su Kim, Sang-Uk Lee
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Journal of Electronic Imaging, Vol. 18, Issue 1, 010504 (January 2009). https://doi.org/10.1117/1.3092367
Abstract
We propose a frame-matching algorithm for video sequences, when a video sequence is modified from its original through frame removal, insertion, shuffling, and data compression. The proposed matching algorithm defines an effective matching cost function and minimizes cost using dynamic programming. Experimental results show that the proposed algorithm provides a significantly lower probability of matching errors than the conventional algorithm.
©(2009) Society of Photo-Optical Instrumentation Engineers (SPIE)
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Young-Yoon Lee, Chang-Su Kim, and Sang-Uk Lee "Video frame-matching algorithm using dynamic programming," Journal of Electronic Imaging 18(1), 010504 (1 January 2009). https://doi.org/10.1117/1.3092367
Published: 1 January 2009
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Cited by 8 scholarly publications and 4 patents.
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KEYWORDS
Video
Video surveillance
Computer programming
Digital watermarking
Video compression
Data compression
Affine motion model
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