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- W2393972225 abstract "In order to reduce the computational complexity of motion estimation and improve the accuracy, a fast motion estimation algorithm based on low frequency sub-image was proposed. The algorithm firstly puts Current Frame and Reference Frame through a low-pass filter to get low frequency sub-images with quarter pixels, then attains the best matched sub-block by Full Search, at last the area of Reference Frame covered by the sub-block are searched to get the best matched point. Compared with traditional algorithm, experimental results show that this algorithm gives a significant improvement in accuracy for motion estimation and reduces the computational complexity, and possesses strong robustness in different kinds of video sequences." @default.
- W2393972225 created "2016-06-24" @default.
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- W2393972225 date "2006-01-01" @default.
- W2393972225 modified "2023-09-22" @default.
- W2393972225 title "Motion estimation based on low frequency sub-image" @default.
- W2393972225 hasPublicationYear "2006" @default.
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