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基于Intel MIC众核架构的视频字幕提取算法并行加速
引用本文:高飞,刘轶.基于Intel MIC众核架构的视频字幕提取算法并行加速[J].计算机工程与科学,2015,37(4):634-640.
作者姓名:高飞  刘轶
作者单位:北京航空航天大学计算机学院,北京,100191
摘    要:视频字幕检索是视频检索领域的重要部分。随着OCR技术的不断完善,视频字幕检索算法也取得了很多重大突破,然而在检索效果提升的同时,视频包含的大量图像、文字信息使数据处理成为制约字幕提取的性能瓶颈。众核架构高性能协处理器近年发展迅猛,为高性能计算研究打下了良好的硬件基础。将Intel众核MIC应用到视频字幕提取中,选用OpenMP并行语言进行加速。通过在Intel Xeon Phi 7110P进行测试,获得了比较理想的加速比。

关 键 词:字幕提取  高性能计算  MIC
收稿时间:2014-10-15
修稿时间:2014-12-13

Acceleration of video caption retrieval algorithm based on Intel MIC
GAO Fei , LIU Yi.Acceleration of video caption retrieval algorithm based on Intel MIC[J].Computer Engineering & Science,2015,37(4):634-640.
Authors:GAO Fei  LIU Yi
Affiliation:(School of Computer Science,Beihang University,Beijing 100191,China)
Abstract:Video caption retrieval is an important part of video retrieval area. With the improvement of OCR, video caption retrieval algorithm has also made a number of significant breakthroughs. However, as the retrieval results get enhanced, the fact that a video contains a large number of images and text information makes data processing the performance bottleneck. Many core platforms develop rapidly and lay a nice hardware basis for high performance computing study. In this paper we use Intel MIC, a typical many core platform, to accelerate video caption retrieval algorithms, and the Open MP parallel language is adopted. After an introduction of video caption retrieval, we present the parallel scheme of kernel algorithms in Intel MIC platform. Finally, we test the system on Intel Xeon Phi 7110P and obtain a desirable speed up ratio.
Keywords:video caption retrieval  high performance computing  MIC
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