Efficient motion vector prediction algorithm using pattern matching

Zhenxing Chen*, Satoshi Goto


研究成果: Article査読

4 被引用数 (Scopus)


The state-of-the-art median prediction scheme is widely used for predicting motion vectors (MVs) in recent video standards. By exploiting the spatial correlations among MVs, median prediction scheme predicts MV for current block from three neighboring blocks. When MV is obtained from motion estimation, MV difference (MVD) is calculated and then transmitted. This process for predicting MV and calculating MVD is known as MV coding process. For MV coding, the performance depends on how efficient both the spatial and the temporal correlations among MVs are being exploited. Median prediction scheme applies a sophisticated way including some special rules to exploit the spatial correlations, however the temporal correlations among successive MVs are not exploited. In this paper, a new algorithm named MV pattern matching (MV-PM) exploiting both the spatial and temporal correlations is proposed. Various kinds of experimental results show that the proposed MV-PM algorithm outperforms the median prediction and the other related prediction schemes.

ジャーナルJournal of Visual Communication and Image Representation
出版ステータスPublished - 2011 11月

ASJC Scopus subject areas

  • 電子工学および電気工学
  • メディア記述
  • コンピュータ ビジョンおよびパターン認識
  • 信号処理


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