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請使用永久網址來引用或連結此文件:
http://ir.ncue.edu.tw/ir/handle/987654321/10368
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| 題名: | An Adaptive Search Algorithm Based on Block Classification for Fast Block Motion Estimation |
| 作者: | Chang, Meng-chou;Chien, Jung-shan |
| 貢獻者: | 電子工程學系 |
| 日期: | 2006-05
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| 上傳時間: | 2012-05-22T06:46:34Z
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| 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 |
| 顯示於類別: | [電子工程學系] 會議論文
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