A study on adaptive motion estimation algorithm using spatial and temporal correlation = 시공 상관관계를 이용한 적응 움직임 예측 알고리즘에 관한 연구

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Block motion estimation using full search is computationally intensive. Previously proposed fast search algorithms limit the size of search window, the size of sequence (usually QCIF format) and search locations. These algorithms do not fit for a sequence having large motion or larger picture size. In this thesis, we present a new fast and efficient search algorithm for block motion estimation that produce better quality performance than TSS and 4SS and less computational time. The proposed algorithm is based on the idea of selecting an adaptive search window per macro-block using 3 spatial macro-blocks and one temporal macro-block with the distance criterion without computational burden. Simulation results show not only better performance in picture quality than that of TSS and 4SS, but also shorter execution time. Therefore it can be applied to the real time system which has limit in using resources.
Advisors
Choi, Hae-Wookresearcher최해욱researcher
Description
한국정보통신대학원대학교 : 공학부,
Publisher
한국정보통신대학교
Issue Date
2001
Identifier
392068/225023 / 000993906
Language
eng
Description

학위논문(석사) - 한국정보통신대학원대학교 : 공학부, 2001, [ vi, 48 p. ]

Keywords

Motion Estimation; Spatial and Temporal Correlation; 시공 상관관계; 움직임 예측

URI
http://hdl.handle.net/10203/54737
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=392068&flag=dissertation
Appears in Collection
School of Engineering-Theses_Master(공학부 석사논문)
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