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文章基本信息

  • 标题:MOVING OBJECT AWARE VIDEO COMPRESSION
  • 本地全文:下载
  • 作者:ANH VU LE
  • 期刊名称:Journal of Industrial Pollution Control
  • 印刷版ISSN:0970-2083
  • 出版年度:2017
  • 卷号:33
  • 期号:2
  • 页码:1555-1559
  • 语种:English
  • 出版社:Research and Reviews
  • 摘要:Moving object is detected by simple spatial and temporal gradients in GOP (Group of Frame) of H.264/AVC such that the MOOI (Moving-Object-of-Interest) is remained as much as possible while the non-MOOI is squeezed. This resizing process to original video is applied as a pre-processing for standard video compression. Specifically, more image data of the original video will be dropped by our non-uniform subsampling as the distance from the center of the MOOI increases. Experimental results show that our MOOI aware video compression can preserve the original visual quality of the MOOI even for low bit-rate applications.
  • 关键词:Moving object; Video compression resizing; PSNR
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