Medical Ultrasound Video Coding with H.265/HEVC Based on ROI Extraction

被引：9
|
作者：
Wu, Yueying [1 ,2 ,3 ,4 ]
Liu, Pengyu [1 ,2 ,3 ,4 ]
Gao, Yuan [1 ,2 ,3 ,4 ]
Jia, Kebin [1 ,2 ,3 ,4 ]
机构：
[1] Beijing Univ Technol, Beijing Adv Innovat Ctr Future Internet Technol, Beijing, Peoples R China
[2] Beijing Lab Adv Informat Networks, Beijing, Peoples R China
[3] Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing, Peoples R China
[4] Beijing Univ Technol, Coll Elect Informat & Control Engn, 100 Pingleyuan, Beijing 100124, Peoples R China
来源：
PLOS ONE | 2016年 / 11卷 / 11期
基金：
中国国家自然科学基金;
关键词：
D O I：
10.1371/journal.pone.0165698
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
High-efficiency video compression technology is of primary importance to the storage and transmission of digital medical video in modern medical communication systems. To further improve the compression performance of medical ultrasound video, two innovative technologies based on diagnostic region-of-interest (ROI) extraction using the high efficiency video coding (H.265/HEVC) standard are presented in this paper. First, an effective ROI extraction algorithm based on image textural features is proposed to strengthen the applicability of ROI detection results in the H.265/HEVC quad-tree coding structure. Second, a hierarchical coding method based on transform coefficient adjustment and a quantization parameter (QP) selection process is designed to implement the otherness encoding for ROIs and non-ROIs. Experimental results demonstrate that the proposed optimization strategy significantly improves the coding performance by achieving a BD-BR reduction of 13.52% and a BD-PSNR gain of 1.16 dB on average compared to H. 265/HEVC (HM15.0). The proposed medical video coding algorithm is expected to satisfy low bit-rate compression requirements for modern medical communication systems.
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收藏
页数：13
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