題名: A Gradient Descent Orthogonal Search Algorithm for Motion Estimation
作者: Wu, Hsin-Jung Jr
Fan Jiang, Shu-JhenJr
Yeh, Chia-Hung Jr
關鍵字: motion estimation
block-matching algorithm
orthogonal search
gradient descent
期刊名/會議名稱: 2010 ICS會議
摘要: A modified orthogonal search (OS) algorithm via gradient descent is proposed for fast motion estimation (ME). Gradient descent method, a first-order optimization algorithm in machine learning, is employed in video coding to reduce the ME time for coding performance enhancement. An improved OS algorithm is created in our proposed method. Through this method, the number of search points is reduced significantly and lower computation time can be achieved. Experimental results demonstrate that the proposed method can greatly improve the coding performance of H.264/AVC.
日期: 2011-01-26T01:28:31Z
分類:2010年 ICS 國際計算機會議(如需查看全文,請連結至IEEE Xplore網站)

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