Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/70867
標題: Correlation-based normalized partial distortion search algorithm for motion estimation
作者: Yeh, C.H.
Wu, M.T.
Chern, S.J.
關鍵字: normalized partial distortion search;motion estimation;block-matching;distortion;sum of absolution difference;block correlation;block;prediction;pattern
Project: Optical Engineering
期刊/報告no:: Optical Engineering, Volume 47, Issue 7.
摘要: 
A modified partial distortion search algorithm considering the neighboring-block correlation property is proposed for fast motion estimation. The motion vector information of neighboring coded blocks is used to predict the possible occurrence region of the global-minimum-distortion position of the current block. In addition, a dynamic search-range decision algorithm is also proposed for automatically changing the size of the search range. Afterwards, the normalized partial distortion search is performed in the selected region instead of the whole search window. Through the proposed algorithms, the computational complexity can be significantly reduced with slight objective quality degradation. (C) 2008 Society of Photo-Optical Instrumentation Engineers.
URI: http://hdl.handle.net/11455/70867
ISSN: 0091-3286
DOI: 10.1117/1.2955813
Appears in Collections:期刊論文

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