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양승준

Yang, Seungjoon
Signal Processing Lab .
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dc.citation.conferencePlace US -
dc.citation.conferencePlace Rochester, NY -
dc.citation.endPage III/368 -
dc.citation.startPage III/365 -
dc.citation.title IEEE ICIP : International Conference on Image Processing -
dc.contributor.author Yang, Seungjoon -
dc.contributor.author Lee, Y -
dc.contributor.author Lee, SH -
dc.contributor.author Park, RH -
dc.date.accessioned 2023-12-20T06:08:47Z -
dc.date.available 2023-12-20T06:08:47Z -
dc.date.created 2014-12-23 -
dc.date.issued 2002-06-24 -
dc.description.abstract Motion compensated interlaced-to-progressive conversion (MC-IPC) methods employ implicit decision on whether to use the estimated motion vectors in order to prevent spurious errors due to poorly estimated motion vectors. This often limits the performance of the MC-IPC. In this paper, we present an IPC method based on the pattern matching assisted motion estimation and motion vector histogram analysis. The proposed method employs an explicit decision on whether to use the estimated motion vectors. Extensive experiments show that high quality IPC can be achieved without spurious errors. -
dc.identifier.bibliographicCitation IEEE ICIP : International Conference on Image Processing, pp.III/365 - III/368 -
dc.identifier.scopusid 2-s2.0-0036452385 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/35846 -
dc.language 영어 -
dc.publisher IEEE -
dc.title.alternative Pattern matching assisted motion estimation and motion vector histogram analysis for interlaced-to-progressive conversion -
dc.title Pattern matching assisted motion estimation and motion vector histogram analysis for interlaced-to-progressive conversion -
dc.type Conference Paper -
dc.date.conferenceDate 2002-06-22 -

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