Parallel Key Frame Extraction for Surveillance Video Service in a Smart City.
Surveillance video service (SVS) is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surve...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC4540463?pdf=render |
| _version_ | 1818506727744602112 |
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| author | Ran Zheng Chuanwei Yao Hai Jin Lei Zhu Qin Zhang Wei Deng |
| author_facet | Ran Zheng Chuanwei Yao Hai Jin Lei Zhu Qin Zhang Wei Deng |
| author_sort | Ran Zheng |
| collection | DOAJ |
| description | Surveillance video service (SVS) is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surveillance video applications, key frames are typically used to summarize important video content. It is very important and essential to extract key frames accurately and efficiently. A novel approach is proposed to extract key frames from traffic surveillance videos based on GPU (graphics processing units) to ensure high efficiency and accuracy. For the determination of key frames, motion is a more salient feature in presenting actions or events, especially in surveillance videos. The motion feature is extracted in GPU to reduce running time. It is also smoothed to reduce noise, and the frames with local maxima of motion information are selected as the final key frames. The experimental results show that this approach can extract key frames more accurately and efficiently compared with several other methods. |
| first_indexed | 2024-12-10T22:08:25Z |
| format | Article |
| id | doaj.art-193adb5a95364da4b59ef9cc32730a45 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-10T22:08:25Z |
| publishDate | 2015-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-193adb5a95364da4b59ef9cc32730a452022-12-22T01:31:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01108e013569410.1371/journal.pone.0135694Parallel Key Frame Extraction for Surveillance Video Service in a Smart City.Ran ZhengChuanwei YaoHai JinLei ZhuQin ZhangWei DengSurveillance video service (SVS) is one of the most important services provided in a smart city. It is very important for the utilization of SVS to provide design efficient surveillance video analysis techniques. Key frame extraction is a simple yet effective technique to achieve this goal. In surveillance video applications, key frames are typically used to summarize important video content. It is very important and essential to extract key frames accurately and efficiently. A novel approach is proposed to extract key frames from traffic surveillance videos based on GPU (graphics processing units) to ensure high efficiency and accuracy. For the determination of key frames, motion is a more salient feature in presenting actions or events, especially in surveillance videos. The motion feature is extracted in GPU to reduce running time. It is also smoothed to reduce noise, and the frames with local maxima of motion information are selected as the final key frames. The experimental results show that this approach can extract key frames more accurately and efficiently compared with several other methods.http://europepmc.org/articles/PMC4540463?pdf=render |
| spellingShingle | Ran Zheng Chuanwei Yao Hai Jin Lei Zhu Qin Zhang Wei Deng Parallel Key Frame Extraction for Surveillance Video Service in a Smart City. PLoS ONE |
| title | Parallel Key Frame Extraction for Surveillance Video Service in a Smart City. |
| title_full | Parallel Key Frame Extraction for Surveillance Video Service in a Smart City. |
| title_fullStr | Parallel Key Frame Extraction for Surveillance Video Service in a Smart City. |
| title_full_unstemmed | Parallel Key Frame Extraction for Surveillance Video Service in a Smart City. |
| title_short | Parallel Key Frame Extraction for Surveillance Video Service in a Smart City. |
| title_sort | parallel key frame extraction for surveillance video service in a smart city |
| url | http://europepmc.org/articles/PMC4540463?pdf=render |
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