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作者:

Liu, P.Y. (Liu, P.Y..) | Wu, Y.Y. (Wu, Y.Y..) | Gao, Y. (Gao, Y..) | Jia, K.B. (Jia, K.B..) (学者:贾克斌)

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Scopus

摘要:

In modern medical communication systems, the high-efficiency video compression technology is of great significance to the storage and transmission of digital medical videos. To further improve the compression performance of the medical ultra- sound videos, two innovative technologies based on diagnostic region-of-interest (ROI) extraction with the High Efficiency Video Coding (H.265/HEVC) standard are proposed in the paper. First, an image-texture-feature based ROI extraction algorithm is proposed to strengthen the applicability of the ROI detection results in the H.265/HEVC quad-tree coding structure. Second, a hierarchical coding algorithm based on the adaptive transform coefficient adjustment and the quantization parameter selection process is designed to implement the otherness encoding for ROI and non-ROI. Experimental results show that the proposed method can improve the coding performance by achieving BD-BR savings of 13.52% on average compared to H.265/HEVC (HM15.0). © 2016, Ubiquitous International. All Rights Reserved.

关键词:

H.265/HEVC; Medical video coding; Quad-tree structure; ROI extraction

作者机构:

  • [ 1 ] [Liu, P.Y.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Liu, P.Y.]Beijing Laboratory of Advanced Information Networks, Beijing, China
  • [ 3 ] [Liu, P.Y.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 4 ] [Wu, Y.Y.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Wu, Y.Y.]Beijing Laboratory of Advanced Information Networks, Beijing, China
  • [ 6 ] [Wu, Y.Y.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 7 ] [Gao, Y.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
  • [ 8 ] [Gao, Y.]Beijing Laboratory of Advanced Information Networks, Beijing, China
  • [ 9 ] [Gao, Y.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 10 ] [Jia, K.B.]Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, Beijing, China
  • [ 11 ] [Jia, K.B.]Beijing Laboratory of Advanced Information Networks, Beijing, China
  • [ 12 ] [Jia, K.B.]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing, China

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来源 :

Journal of Information Hiding and Multimedia Signal Processing

ISSN: 2073-4212

年份: 2016

期: 5

卷: 7

页码: 906-915

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WoS核心集被引频次: 0

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