应用科学学报 ›› 2018, Vol. 36 ›› Issue (4): 667-678.doi: 10.3969/j.issn.0255-8297.2018.04.010

• 计算机科学与应用 • 上一篇    下一篇

一种基于计算迁移的智能终端商标识别方法

张金1, 冯帆1,2, 孙承君1,2, 宫晓利1,2   

  1. 1. 南开大学 计算机与控制工程学院, 天津 3003502. 中国科学院计算技术研究所 计算机体系结构国家重点实验室, 北京 100190
  • 收稿日期:2017-08-05 修回日期:2017-10-04 出版日期:2018-07-31 发布日期:2018-07-31
  • 通信作者: 宫晓利,副教授,研究方向:嵌入式系统,E-mail:gongxiaoli@nankai.edu.cn E-mail:gongxiaoli@nankai.edu.cn
  • 基金资助:
    国家自然科学基金(No.61702286);体系结构国家重点实验室开放课题基金(No.CARCH201604);天津市优秀科技特派员基金(No.17JCTPJC49500)资助

An Intelligent Terminal Trademark Recognition Method Based on Computation Offloading

ZHANG Jin1, FENG Fan1,2, SUN Cheng-jun1,2, GONG Xiao-li1,2   

  1. 1. College of Computer and Control Engineering, Nankai University, Tianjin 300350, China 2. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beigjing 100190, China
  • Received:2017-08-05 Revised:2017-10-04 Online:2018-07-31 Published:2018-07-31

摘要: 在移动终端进行商标识别时,使用图像处理技术的传统方法已不再适用.针对这一问题,提出基于计算迁移的智能终端商标识别方法.首先通过分析商标识别应用的组织架构来划分商标识别应用的任务节点;然后构建基于任务节点的应用成本图,设计计算迁移的约束条件;最后制定计算迁移的目标函数,以实现应用能耗与应用时长的均衡.实验结果表明,该方法可以提升移动终端商标识别应用的性能,降低本地能耗,增强用户体验.

关键词: 商标识别, 计算迁移, 云计算, 目标函数

Abstract: Trademark is the mark that distinguishes enterprise brand or service, and plays an important role in spreading enterprise culture. Trademark recognition application on intelligent terminal is a computationally intensive application. The application performance is limited by the resource bottlenecks of intelligent terminal. Address to the problem, this paper presents a computation offloading method for trademark recognition application on intelligent terminal. In this method, the entire application is firstly divided into many task nodes by categorizing their usage. Then the energy consumption and execution time of each single task node are monitored and calculated, and an application cost graph can be built up. Finally, the objective functions based on minimum energy consumption, minimum executed time, and the balance between energy consumption and executed time can be derived. In the paper, offloading experiments based on these objective functions are carried out, and the experimental results show that the proposed method can improve the performance of trademark recognition application on intelligent terminal, reduce the energy consumption, and enhance user experience.

Key words: trademark recognition, object function, computation offload, cloud computation

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