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Please use this identifier to cite or link to this item:
http://ir.ncue.edu.tw/ir/handle/987654321/10368
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| Title: | An Adaptive Search Algorithm Based on Block Classification for Fast Block Motion Estimation |
| Authors: | Chang, Meng-chou;Chien, Jung-shan |
| Contributors: | 電子工程學系 |
| Date: | 2006-05
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| Issue Date: | 2012-05-22T06:46:34Z
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| Publisher: | IEEE |
| Abstract: | 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 |
| Relation: | The 2006 IEEE International Symposium on Circuits and Systems, Island of Kos, Greece, May 21-24, 2006: 3982-3985 |
| Appears in Collections: | [電子工程學系] 會議論文
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