| Publisher | Institute of Electrical and Electronics Engineers | ||
|---|---|---|---|
| Format | 113.7KB PDF | Date added | 26 Mar 2005 |
| Topics | Scalability, Software Engineering | ||
| Downloads | 3 | ||
This paper presents a novel Motion Estimation (ME) framework that offers fine-granular computational-complexity scalability. In the proposed framework, the ME process is first partitioned into multiple search passes. A priority function is used to represent the distortion reduction efficiency of each pass. According to the predicted priority of each MacroBlock (MB), computational resources are then allocated effectively in a progressive way to achieve fine-granular computational-complexity scalability. Experiments show that the proposed scheme achieves progressively improved performance over a wide range of computational capabilities.
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