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- W2154131369 abstract "In this paper, we propose motion pattern-based descriptor which exploits both spatial and temporal features to characterize video sequences in a semantics-based manner. The Discrete Cosine Transform (DCT) is applied to convert the high-level features from the time domain to the frequency domain. The energy concentration property of DCT allows us to use only a few DCT coefficients to precisely capture the variations of moving blobs. In comparison with the frequently used motion activity descriptors, the RLD and SAH of MPEG-7, the proposed descriptor yields 38% and 19% average gains over RLD and SAH, respectively." @default.
- W2154131369 created "2016-06-24" @default.
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- W2154131369 date "2005-01-01" @default.
- W2154131369 modified "2023-09-24" @default.
- W2154131369 title "Robust Video Retrieval Using Temporal MVMB Moments" @default.
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- W2154131369 doi "https://doi.org/10.1007/11553939_52" @default.
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