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This paper proposes an adaptive search range adjustment algorithm which is particularly suitable for low-bit-depth motion estimation (ME) approaches. Typical low-bit-depth ME approaches such as one-bit transform (1BT), two-bit transform (2BT), and truncated gray-coded bit plane matching (TGCBM) perform FS with low-bit expression but these have significant PSNR drop. Combination of this proposed algorithm...
In order to achieve a high coding gain, the H.264 video coding standard allows one or more reference frames. However, this greatly increases the computational burden in proportion to the number of the searched reference frames. Therefore, we propose a method to reduce the complexity by selecting the proper reference frames. The proposed algorithm uses the optimal reference frame information in both...
This paper presents new fast full search motion estimation algorithms using discrete cosine transform (DCT) coefficients as a gradient magnitude. The proposed algorithms use intra DCT coefficients to arrange the matching scan order. The proposed algorithms significantly reduce the computational complexity of the conventional algorithm.
In this paper, an adaptive fast full search algorithm is proposed. The fast full search algorithm only reduces the complexity of the block matching algorithm used for motion estimation of video coding. Since the spiral search method used in conventional algorithms starts searching at the center of the search range and then moves the candidate position to estimate motion pixel by pixel, it is best...
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