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학술대회 A Directional & Adaptive Diamond Search by Adaptive Pattern Switching with a Predicted Motion Vector
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저자
김종호, 김병규, 송석규, 조창식
발행일
200610
출처
International Conference on Image Processing (ICIP) 2006, pp.2357-2360
DOI
https://dx.doi.org/10.1109/ICIP.2006.312899
협약과제
06MW1100, 임베디드 SW 기반 Smar Town 솔루션 기술 개발, 마평수
초록
We propose a simple fast block-matching algorithm (BMA) based on the direction of the predicted motion vector called directional & adaptive diamond search by adaptive pattern switching (DADS-APS). The proposal method has two sequential search steps, including 1) an initial search, and 2) a refinement search for the local area. Adaptive pattern switching (APS) is proposed for the initial search and a unit-size rood pattern is used for the refinement. The initial search step consists of pattern size determination and selection of a pattern shape. We use an adaptive pattern size that is adjusted by the amount of motion. This method is superior to a fixed-pattern size algorithm, regardless of the amount of motion. In video sequences, each motion has a unique direction. Using this property, we use adaptive pattern switching between ARPS and DADS. APS considers the motion direction so we can easily and correctly find the minimal matching error (MME) point with less error distortion. APS can thus reduce the number of poorly related search points. Analysis shows that DADS-APS exhibits good PSNR performance and the average number of search points compares favorably with other methods. ©2006 IEEE.
KSP 제안 키워드
Block Matching Algorithm, Matching error, Motion Vector(MV), Motion direction, Pattern size, Pattern switching, Search step, Sequential search, adaptive pattern, diamond search, local area