A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios
This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-fra...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Series: | Journal of Electrical and Computer Engineering |
| Online Access: | http://dx.doi.org/10.1155/2018/3839104 |
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| _version_ | 1832551853561217024 |
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| author | Shengcheng Ma Xin Chen Zhuo Li Yingjie Yang |
| author_facet | Shengcheng Ma Xin Chen Zhuo Li Yingjie Yang |
| author_sort | Shengcheng Ma |
| collection | DOAJ |
| description | This paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN) and verify the promotion of query performance by quantitative analysis. |
| format | Article |
| id | doaj-art-0414110c993a4c33a0d8e27a52484b49 |
| institution | Kabale University |
| issn | 2090-0147 2090-0155 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Electrical and Computer Engineering |
| spelling | doaj-art-0414110c993a4c33a0d8e27a52484b492025-02-03T06:00:14ZengWileyJournal of Electrical and Computer Engineering2090-01472090-01552018-01-01201810.1155/2018/38391043839104A Retrieval Optimized Surveillance Video Storage System for Campus Application ScenariosShengcheng Ma0Xin Chen1Zhuo Li2Yingjie Yang3School of Computer Science, Beijing Information Science and Technology University, Beijing, ChinaSchool of Computer Science, Beijing Information Science and Technology University, Beijing, ChinaBeijing Key Laboratory of Internet Culture and Digital Dissemination Research, School of Computer Science, Beijing Information Science and Technology University, Beijing, ChinaSchool of Computer Science, Beijing Information Science and Technology University, Beijing, ChinaThis paper investigates and analyzes the characteristics of video data and puts forward a campus surveillance video storage system with the university campus as the specific application environment. Aiming at the challenge that the content-based video retrieval response time is too long, the key-frame index subsystem is designed. The key frame of the video can reflect the main content of the video. Extracted from the video, key frames are associated with the metadata information to establish the storage index. The key-frame index is used in lookup operations while querying. This method can greatly reduce the amount of video data reading and effectively improves the query’s efficiency. From the above, we model the storage system by a stochastic Petri net (SPN) and verify the promotion of query performance by quantitative analysis.http://dx.doi.org/10.1155/2018/3839104 |
| spellingShingle | Shengcheng Ma Xin Chen Zhuo Li Yingjie Yang A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios Journal of Electrical and Computer Engineering |
| title | A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios |
| title_full | A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios |
| title_fullStr | A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios |
| title_full_unstemmed | A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios |
| title_short | A Retrieval Optimized Surveillance Video Storage System for Campus Application Scenarios |
| title_sort | retrieval optimized surveillance video storage system for campus application scenarios |
| url | http://dx.doi.org/10.1155/2018/3839104 |
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