Title :
A framework for fine-granular computational-complexity scalable motion estimation [real-time video coding applications]
Author :
Yang, Zhi ; Cai, Hua ; Li, Jiang
Author_Institution :
Coll. of Comput. Sci. & Technol., Zhejiang Univ., Hangzhou, China
Abstract :
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 our proposed scheme achieves progressively improved performance over a wide range of computational capabilities.
Keywords :
computational complexity; motion estimation; video coding; computational-complexity scalable motion estimation; distortion reduction efficiency; fine-granular motion estimation; macroblock priority prediction; multiple search pass partitioning; real-time video coding; Asia; Educational institutions; Embedded computing; Encoding; High performance computing; Motion estimation; Personal communication networks; Resource management; Scalability; Video coding;
Conference_Titel :
Circuits and Systems, 2005. ISCAS 2005. IEEE International Symposium on
Print_ISBN :
0-7803-8834-8
DOI :
10.1109/ISCAS.2005.1465875