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