A fast video compression method using spatiotemporal segmentation based on Hilbert scanning

Yukihiro Bando*, Nobuyoshi Nishi, Sei Ichiro Kamata

*この研究の対応する著者

研究成果: Article査読

抄録

We investigate a novel video compression method using the Hilbert curve. This curve is applied to various problems such as image compression, the traveling salesman problem, and database management, because of its locality preservation property. We map the three-dimensional data to one-dimensional data along the Hilbert curve and then apply a lossy compression method using a linear approximation to the one-dimensional data. This method uses simple segmentation of the one-dimensional data and does not require complex computation such as DCT or motion estimation. Experimental results show that our method obtains acceptable quality of reconstructed images comparable to H.263 at low bit rates but is about ten times faster than H.263 (full search motion estimation). It is suitable for video telephones which require real-time encoding of video signals.

本文言語English
ページ(範囲)559-564
ページ数6
ジャーナルKyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers
53
4
DOI
出版ステータスPublished - 1999
外部発表はい

ASJC Scopus subject areas

  • メディア記述
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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