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2005
Springer

Retrieval of News Video Using Video Sequence Matching

12 years 3 months ago
Retrieval of News Video Using Video Sequence Matching
In this paper, we propose a new algorithm to find video clips with different temporal durations and some spatial variations. We adopt a longest common subsequence (LCS) matching technique for measuring the temporal similarity between video clips. Based on the measure we propose 3 techniques to improve the retrieval effectiveness. First, we use a few coefficients in the low frequency region of DCT block as the basis to represent spatial features. Second, we heuristically determine a suitable quantization step-size for visual features to better tolerate spatial variations of similar video clips and propose a paired quantizer method. Third, we incorporate the compactness and/or continuity of matched common sub-sequences in the LCS measure to better reflect temporal characteristics of video. The performance of the proposed algorithm shows an improvement of 63.5% in terms of MAP (mean average precision) as compared to an existing algorithm. The results show that our approach is effective f...
Young-tae Kim, Tat-Seng Chua
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where MMM
Authors Young-tae Kim, Tat-Seng Chua
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