ETRI Journal

Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Extended Temporal Ordinal Measurement Using Spatially Normalized Mean for Video Copy Detection

  • Lee, Heung-Kyu (Department of Visual Information Processing, Korea University) ;
  • Kim, June (Department of Information and Communication Engineering, Seokyeong University)
  • Received : 2009.11.27
  • Accepted : 2010.02.18
  • Published : 2010.06.30
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Abstract

This letter proposes a robust feature extraction method using a spatially normalized mean for temporal ordinal measurement. Before computing a rank matrix from the mean values of non-overlapped blocks, each block mean is normalized so that it obeys the invariance property against linear additive and subtractive noise effects and is insensitive against multiplied and divided noise effects. Then, the temporal ordinal measures of spatially normalized mean values are computed for the feature matching. The performance of the proposed method showed about 95% accuracy in both precision and recall rates on various distortion environments, which represents the 2.7% higher performance on average compared to the temporal ordinal measurement.

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References

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