National Changhua University of Education Institutional Repository : Item 987654321/10368
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题名: An Adaptive Search Algorithm Based on Block Classification for Fast Block Motion Estimation
作者: Chang, Meng-chou;Chien, Jung-shan
贡献者: 電子工程學系
日期: 2006-05
上传时间: 2012-05-22T06:46:34Z
出版者: IEEE
摘要: This paper presents a new motion estimation algorithm, called the adaptive motion estimation (AME). The AME algorithm exploits the information gathered from the previous frame to derive a parameter, called CF (correlation parameter), and employs CF to classify the blocks in the current frame into potentially dependent blocks and potentially independent blocks. AME applies different motion estimation methods for potentially dependent blocks and potentially independent blocks to achieve better estimation accuracy and lower computational complexity. Simulation results showed that the proposed AME algorithm has both lower computational complexity and higher PSNR than other motion estimation algorithms, such as three-step search (TSS), new three-step search (NTSS), four-step search (4SS), and the NPSA (new predictive search area) algorithm
關聯: The 2006 IEEE International Symposium on Circuits and Systems, Island of Kos, Greece, May 21-24, 2006: 3982-3985
显示于类别:[電子工程學系] 會議論文

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