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ICMCS
2009
IEEE

Adaptive division of feature space for rapid detection of near-duplicate video segments

8 years 8 months ago
Adaptive division of feature space for rapid detection of near-duplicate video segments
Near-duplicate video detection is becoming a core-technology for analyzing the structure of a large-scale video archive. It, however, is naturally an O(n2 ) problem, where n is a value proportional to the total length of an input video stream. We have previously challenged this time-consuming task by reducing the cost required for each of the O(n2 ) comparisons. This paper, on the other hand, proposes a method that reduces the number of comparisons by adaptively dividing the feature space according to the distribution of feature points.
Ichiro Ide, Shugo Suzuki, Tomokazu Takahashi, Hiro
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICMCS
Authors Ichiro Ide, Shugo Suzuki, Tomokazu Takahashi, Hiroshi Murase
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