[1]冯亚洲,岳东. 电力视频大数据分布式检索系统设计与实现[J].计算机技术与发展,2016,26(12):186-189.
　FENG Ya-zhou,YUE Dong. Design and Implementation of Distributed Retrieval System for Massive Power Video[J].,2016,26(12):186-189.
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 电力视频大数据分布式检索系统设计与实现()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年12期
页码:
186-189
栏目:
应用开发研究
出版日期:
2016-12-10

文章信息/Info

Title:
 Design and Implementation of Distributed Retrieval System for Massive Power Video
文章编号:
1673-629X（2016)12-0186-04
作者:
 冯亚洲; 岳东
 南京邮电大学 先进技术研究院,
Author(s):
 FENG Ya-zhou; YUE Dong
关键词:
 ; 电力视频大数据; 视频检索; Hadoop; OpenCV ; Lucene
Keywords:
 ; massive power video; video retrieval; Hadoop; OpenCV; Lucene
分类号:
TP302
文献标志码:
A
摘要:
 随着智能电网的迅速发展和逐渐完善，海量的电力视频大数据每时每刻都在产生，电力行业对视频处理也提出了更高的要求。云计算平台Hadoop具有海量数据存储和运算、高可靠性、高拓展性等特点，为解决电力视频大数据的检索问题提供了新的研究思路。在介绍平台环境之后，着重阐述了整个系统的设计与实现。以Hadoop大数据平台为基础，将视频文件存储在HDFS中，利用FFmpeg进行解码，辅之以OpenCV函数库进行视频帧的特征提取，使用直方图法在Ma-pReduce计算框架上实现关键帧的提取。最后基于Lucene实现关键帧的索引，系统将检索结果通过Web检索界面呈现给用户。设计并实现的基于Hadoop的电力视频大数据检索系统，能够容纳海量电力视频大数据的存储和运算，并且能够实现电力视频大数据的快速检索。
Abstract:
 With the rapid development and gradually perfection of smart grids,massive power video is being produced all the time,and the power industries are also requested higher demand for video processing. Hadoop as a cloud computing platform,has great advantage of mass data storage and computing,high reliability and high expansibility,which provides a new research idea to solve the problem of mas-sive power video retrieval. After introducing platform environment,it mainly focuses on the design and implementation of the whole sys-tem. Based on the Hadoop big data platform,the video files is stored in HDFS. The system decodes with FFmpeg and extracts key frames with MapReduce and OpenCV function library. At last,the system presents the retrieval result to users through the Web retrieval interface after the index of key frames based on Lucene. The system introduced can store and operate massive power video,realizing quick retrieval of that.

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更新日期/Last Update: 2017-02-04