DocumentCode :
736836
Title :
Design and Implementation of Distributed Video Retrieval System in Air Monitoring Warning System
Author :
Na, Chen ; Ling, Zhu Ya
fYear :
2015
fDate :
13-14 June 2015
Firstpage :
343
Lastpage :
345
Abstract :
The video monitoring system plays a decisive role on the security of the sensitive areas, the video will be recording when the system monitors a warning behavior, accumulating over a long period, which will produce a large amount of video information, It is becoming crucial that how to retrieve these massive video information effectively and efficiently. The Content-based video retrieval technology has been the research hotspots in recent years. This paper, with the mature technology of video key frame extraction, combining with the SIFT feature extraction and matching, as well as LSH mapping, realizes the video retrieval. During the process of feature extraction and matching to the video key frame, we realize the distributed processing and storage, using MapReduce parallel mode and HBase distributed storage system, which is the application development of the Contentbased video retrieval on the parallel analysis and scalable storage.
Keywords :
Distributed databases; Distributed processing; Feature extraction; Image retrieval; Indexes; Monitoring; Streaming media; Distributed video retrieval; HBase; HDFS; Locality-sensitive hashing; Scale-invariant feature transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2015 Seventh International Conference on
Conference_Location :
Nanchang, China
Print_ISBN :
978-1-4673-7142-1
Type :
conf
DOI :
10.1109/ICMTMA.2015.88
Filename :
7263581
Link To Document :
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