Linear predictor using 3-D projection for video lossless compression

Daejung Bang, Haijiang Tang, Sei Ichiro Kamata

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

Recently, video lossless compression has been developed for applying it to digital cinema, video archiving of contents, etc. Video lossless compression is important in image processing problem since a large image requires a large amount of storage space. The purpose of this paper is to enhance the predictor used for the lossless compression of video. In this paper, we propose the 3-dimensional predictor for the effective prediction. In addition, the three-dimensional spatio-temporal gradient is adopted to improve the conventional image compression methods such as GAP, MED which are two-dimensional predictions based on horizontal and vertical gradients. The spatio-temporal gradient is a spatial data resulted from the projection of triangular prism composed of the neighborhood pixels. From the experimental results compared with the previous prediction methods, we confirmed that the prediction using proposed method is more efficient.

元の言語English
ホスト出版物のタイトルProceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics
ページ1914-1918
ページ数5
DOI
出版物ステータスPublished - 2009 12 1
イベントIEEE International Symposium on Industrial Electronics, IEEE ISIE 2009 - Seoul, Korea, Republic of
継続期間: 2009 7 52009 7 8

出版物シリーズ

名前IEEE International Symposium on Industrial Electronics

Conference

ConferenceIEEE International Symposium on Industrial Electronics, IEEE ISIE 2009
Korea, Republic of
Seoul
期間09/7/509/7/8

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering

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  • これを引用

    Bang, D., Tang, H., & Kamata, S. I. (2009). Linear predictor using 3-D projection for video lossless compression. : Proceedings - IEEE ISIE 2009, IEEE International Symposium on Industrial Electronics (pp. 1914-1918). [5213300] (IEEE International Symposium on Industrial Electronics). https://doi.org/10.1109/ISIE.2009.5213300