DocumentCode :
3473706
Title :
Computational Complexity Scalable ME Algorithm and Architecture
Author :
Feng Liu ; Yiqi Zhuang ; Dai, Guoding
Author_Institution :
Microprocessor Res. & Dev. Center, Peking Univ., Beijing
fYear :
2006
fDate :
2006
Firstpage :
2022
Lastpage :
2024
Abstract :
A computational complexity scalable block-matching algorithm (CCS-BMA) is presented in this paper for the motion estimation of video encoding. The CCS-BMA shares the feature of fast convergence in TSS and the advantage of center bias searching in FSS and DS. With the uniform shape of searching pattern, the VLSI implementation of the CCS-BMA is more convenient than that of other fast motion estimation algorithms. The scalability of computational payload can be achieved through searching steps adjustment and block pixel sub-sampled. The proposed algorithm and architecture are suitable for low power implementation of video encoding that needs flexible scalable capability
Keywords :
VLSI; computational complexity; low-power electronics; motion estimation; video coding; VLSI implementation; block pixel sub-sampling; motion estimation; scalable block-matching algorithm; searching pattern uniform shape; searching step adjustment; video encoding; Computational complexity; Computer architecture; Convergence; Encoding; Frequency selective surfaces; Motion estimation; Scalability; Shape; Very large scale integration; Video sharing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Solid-State and Integrated Circuit Technology, 2006. ICSICT '06. 8th International Conference on
Conference_Location :
Shanghai
Print_ISBN :
1-4244-0160-7
Electronic_ISBN :
1-4244-0161-5
Type :
conf
DOI :
10.1109/ICSICT.2006.306581
Filename :
4098612
Link To Document :
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