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计算机工程 ›› 2013, Vol. 39 ›› Issue (4): 283-286. doi: 10.3969/j.issn.1000-3428.2013.04.065

• 开发研究与工程应用 • 上一篇    下一篇

多优先级感兴趣区H.264计算资源分配

陈晓雷1,2,张爱华1,2,陈莉莉1,2,林冬梅1,2,杨欣翥3   

  1. (1. 兰州理工大学电气与信息工程学院,兰州 730050;2. 甘肃省工业过程先进控制重点实验室,兰州 730050; 3. 兰州交通大学机电工程学院,兰州 730070)
  • 收稿日期:2012-04-23 出版日期:2013-04-15 发布日期:2013-04-12
  • 作者简介:陈晓雷(1979-),男,讲师、博士研究生,主研方向:图像和视频处理;张爱华(通讯作者),教授、博士;陈莉莉,硕士研究生;林冬梅,助教、硕士;杨欣翥,讲师、硕士
  • 基金资助:
    教育部博士点基金资助项目(1203ZBB0079);甘肃省自然科学基金资助项目(1112RJZA033)

H.264 Computation Resource Allocation in Multiple Priority Region of Interest

CHEN Xiao-lei 1,2, ZHANG Ai-hua 1,2, CHEN Li-li 1,2, LIN Dong-mei 1,2, YANG Xin-zhu 3   

  1. (1. School of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China; 2. Key Laboratory of Gansu Advanced Control for Industrial Process, Lanzhou 730050, China; 3. School of Mechatronic Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China)
  • Received:2012-04-23 Online:2013-04-15 Published:2013-04-12

摘要: 移动设备有限的电池能量是实时手语视频通信所面临的关键制约因素。为此,提出多优先级感兴趣区的H.264计算资源分配方法。从原始手语视频中快速检测出面部、双手和背景区域,依据视觉重要性的不同,给面部和双手区域分配较多的计算资源,给背景区域分配较少的计算资源。实验结果表明,该方法在保证手语视频感兴趣区编码质量的同时,可以大幅降低编码器的计算复杂度,减少电池能量消耗,延长能量受限设备的工作时间。

关键词: 人类视觉系统, H.264标准, 感兴趣区, 计算资源分配, 手语视频, 电池能量

Abstract: The limitation of energy in battery powered devices is very challenging to apply H.264 to design a mobile sign language communication system. This paper therefore proposes a multiple priority Region of Interest(ROI) H.264 computation resource allocation scheme. In the system, the face, hands and background of sign language video is first detected with a fast algorithm. Then several coding parameters which allow the encoder to allocate computational resources differently are adaptively adjusted at the Macroblock(MB) level according to the relative priority of each MB. As a result, it keeps fine quality in face and hands, greatly reduces the computational complexity and prolongs the battery life.

Key words: human visual system, H.264 standard, Region of Interest(ROI), computation resource allocation, sign language video, battery power

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