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- W2099684965 abstract "In this paper, we present a new motion estimation algorithm which determines an initial motion vector and defines a search window adaptively using the motion information of spatio-temporal neighborhood blocks. First, an initial motion vector based on spatio-temporal correlation of motion is predicted. Next, we define a search window adaptively using the Gibbs/Markov random field model. The proposed algorithm particularly deals with the fast moving objects with only a small amount of computation in motion estimation, and is applied to constant and adaptive search windows respectively. The experimental results show the effectiveness of the proposed method." @default.
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- W2099684965 date "2002-12-24" @default.
- W2099684965 modified "2023-09-27" @default.
- W2099684965 title "Block motion estimation based on spatio-temporal correlation" @default.
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- W2099684965 doi "https://doi.org/10.1109/tencon.1996.608477" @default.
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