在視訊畫面率轉換的領域，使用動作向量來插補畫面，其品質會隨著動作向量的準確與否而有很大的差異。在這份論文中，我們提出一個穩定且有效率的擬真動作向量估計演算法去提昇動作向量的精確度。在本論文中，數個在一般視訊編碼系統常用的技術將被引用到這個演算法中。首先，因為隨著搜尋回數的增加，動作向量間的空間相關性也會跟著增加，因此，多回次動作向量的搜尋技術將可以把動作向量場修飾得更為精確。其次，變動方塊大小的技術可以依照每個移動物件的外形，來量身訂做一個適合的動作向量估計演算法。再者，動作向量收斂訊息的傳遞和較少的候選搜尋點將有效地降低多層次動作向量搜尋的時間複雜度。最後，本篇論文亦提出一個能取代傳統最小絕對誤差總和的誤差估計函數，它能更有效地抵抗雜訊和陰影對擬真動作向量估計的干擾。

The quality of the motion vector based interpolated frame in frame rate up conversion is predominantly dependent on the accuracy of the motion vectors. In this Thesis, we propose a robust true motion estimation algorithm to enhance the accuracy of the motion vector field. Several techniques used in general video coding systems are introduced into this algorithm. Firstly, a technique of multi-pass motion search can refine motion vector field more accurately as spatial motion correlation is growing up with passes. Secondly, according to the shape of moving objects, variable block size will apply a suitable block size to motion estimation. Thirdly, the methods of converge propagation and few candidate search points can efficiently reduce the time-consume multi-pass motion search. Finally, differing to traditional SAD measurement, a new distortion criterion is proposed to enhance resistance to noise and shadow.

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