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    • 8. 发明授权
    • Refinement of motion vectors in hierarchical motion estimation
    • 运动矢量在分层运动估计中的优化
    • US08149915B1
    • 2012-04-03
    • US11947044
    • 2007-11-29
    • Pavel NovotnyMichael D. GallantLowell L. Winger
    • Pavel NovotnyMichael D. GallantLowell L. Winger
    • H04N7/12
    • H04N19/53H04N19/56
    • A method of motion estimation (ME) refinement. The method generally includes the steps of (A) generating an initial motion vector (MV) by conducting a first ME on an initial block in a picture, the initial block covering an initial area of the picture, (B) generating a current MV by conducting a second ME on a current block in the picture, (i) the current block covering a subset of the initial area and (ii) the second ME being seeded by the initial MV, (C) generating at least one additional MV by conducting at least one third ME on the current block, the at least one third ME being seeded respectively by at least one neighboring MV spatially adjacent to the current MV and (D) generating a refined MV of the current block by storing in a memory a best among the current MV and the additional MV.
    • 一种运动估计(ME)改进方法。 该方法通常包括以下步骤:(A)通过在图像中的初始块上进行第一ME生成初始运动矢量(MV),初始块覆盖图像的初始区域,(B)通过 在图像中的当前块上执行第二ME,(i)覆盖初始区域的子集的当前块和(ii)由初始MV接收的第二ME,(C)通过进行至少一个额外的MV生成 在当前块上的至少一个第三ME,所述至少一个第三ME分别由与当前MV空间相邻的至少一个相邻MV接种,并且(D)通过在存储器中存储最佳地生成当前块的精细MV 在当前MV和额外的MV之间。
    • 9. 发明授权
    • Refinement of motion vectors in hierarchical motion estimation
    • 运动矢量在分层运动估计中的优化
    • US08437401B2
    • 2013-05-07
    • US13415003
    • 2012-03-08
    • Pavel NovotnyMichael D. GallantLowell L. Winger
    • Pavel NovotnyMichael D. GallantLowell L. Winger
    • H04N7/12
    • H04N19/53H04N19/56
    • A method of motion estimation (ME) refinement. The method generally includes the steps of (A) generating an initial motion vector (MV) by conducting a first ME on an initial block in a picture, the initial block covering an initial area of the picture, (B) generating a current MV by conducting a second ME on a current block in the picture, (i) the current block covering a subset of the initial area and (ii) the second ME being seeded by the initial MV, (C) generating at least one additional MV by conducting at least one third ME on the current block, the at least one third ME being seeded respectively by at least one neighboring MV spatially adjacent to the current MV and (D) generating a refined MV of the current block by storing in a memory a best among the current MV and the additional MV.
    • 一种运动估计(ME)改进方法。 该方法通常包括以下步骤:(A)通过在图像中的初始块上进行第一ME生成初始运动矢量(MV),初始块覆盖图像的初始区域,(B)通过 在图像中的当前块上执行第二ME,(i)覆盖初始区域的子集的当前块和(ii)由初始MV接收的第二ME,(C)通过进行至少一个额外的MV生成 在当前块上的至少一个第三ME,所述至少一个第三ME分别由与当前MV空间相邻的至少一个相邻MV接种,并且(D)通过在存储器中存储最佳地生成当前块的精细MV 在当前MV和额外的MV之间。
    • 10. 发明申请
    • REFINEMENT OF MOTION VECTORS IN HIERARCHICAL MOTION ESTIMATION
    • 运动矢量在分层运动估计中的修正
    • US20120170660A1
    • 2012-07-05
    • US13415003
    • 2012-03-08
    • Pavel NovotnyMichael D. GallantLowell L. Winger
    • Pavel NovotnyMichael D. GallantLowell L. Winger
    • H04N7/34
    • H04N19/53H04N19/56
    • A method of motion estimation (ME) refinement. The method generally includes the steps of (A) generating an initial motion vector (MV) by conducting a first ME on an initial block in a picture, the initial block covering an initial area of the picture, (B) generating a current MV by conducting a second ME on a current block in the picture, (i) the current block covering a subset of the initial area and (ii) the second ME being seeded by the initial MV, (C) generating at least one additional MV by conducting at least one third ME on the current block, the at least one third ME being seeded respectively by at least one neighboring MV spatially adjacent to the current MV and (D) generating a refined MV of the current block by storing in a memory a best among the current MV and the additional MV.
    • 一种运动估计(ME)改进方法。 该方法通常包括以下步骤:(A)通过在图像中的初始块上进行第一ME生成初始运动矢量(MV),初始块覆盖图像的初始区域,(B)通过 在图像中的当前块上执行第二ME,(i)覆盖初始区域的子集的当前块和(ii)由初始MV接收的第二ME,(C)通过进行至少一个额外的MV生成 在当前块上的至少一个第三ME,所述至少一个第三ME分别由与当前MV空间相邻的至少一个相邻MV接种,并且(D)通过在存储器中存储最佳地生成当前块的精细MV 在当前MV和额外的MV之间。