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  • 标题:選択情報が不要な適応内挿フィルタを用いた動画像符号化の高性能化
  • 本地全文:下载
  • 作者:近藤 敏志 ; 松野 孝也 ; 長谷山 美紀
  • 期刊名称:映像情報メディア学会誌
  • 印刷版ISSN:1342-6907
  • 电子版ISSN:1881-6908
  • 出版年度:2009
  • 卷号:63
  • 期号:11
  • 页码:1592-1597
  • DOI:10.3169/itej.63.1592
  • 出版社:The Institute of Image Information and Television Engineers
  • 摘要:We propose a method to improve performance of video coding using an adaptive interpolation filter technique. The adaptive interpolation technique was based on clustering using the k-means method and did not need filter selection information. To improve the performance of the clustering, we introduced autocorrelation coefficients of the pixel values and the directions of the motion vectors as the new features and the Mahalanobis distance as the distance scale in the k-means method. We also used vector quantization to reduce the number of interpolation filter coefficients. In the simulation, our proposed method was implemented in the MPEG-2 based video codec. The simulation results show that the proposed method can reduce the bit rate by up to nearly 7 % compared to conventional adaptive interpolation filter methods.
  • 关键词:動画像符号化;動き補償;適応内挿フィルタ;クラスタリング;ベクトル量子化
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