隨著多視角立體液晶螢幕的推出，人們將不再需要配戴立體眼鏡即可透過螢幕輕易地欣賞立體視訊，多視角視訊影像壓縮系統(Multi-view Video Coding System，簡稱MVC)是目前正在發展中的視訊標準。這個標準預計將會成為未來3D立體多媒體應用的關鍵標準。這個系統又稱H.264/MVC是目前H.264/AVC的一個延伸標準。
在此論文中，我們提出了一個新的預測方式來預測多視角視訊影像壓縮系統中的進階全域視差向量估測子，並且藉由多視角視訊影像壓縮系統本身的特性，以及新的全域視差向量估測子的預測方式為基礎，來改良原本在H.264中的快速搜尋演算法。

After availability of multiview stereo LCD display systems, people can perceive stereo videos without wearing any special 3D glasses. The multiview video coding (MVC) system is a newly-developed video compression standard in recent years. This video compression standard is expected to be the key technology in the 3D stereo multimedia applications. This standard, named H.264/MVC is an extension of H.264/AVC.
In this thesis, we propose a new prediction method to predict the adaptive global disparity vector (GDV) in the MVC system. We also improve the current fast disparity search algorithm in H.264/AVC by incorporating the characteristics among multi-views and the new GDV prediction method.

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