Multi-scale structural similarity index for motion detection
The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos. The MS-SSIM approach is based on modeling of image luminance, contra...
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| Format: | Article |
| Language: | English |
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Springer
2017-07-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157816300088 |
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| author | M. Abdel-Salam Nasr Mohammed F. AlRahmawy A.S. Tolba |
| author_facet | M. Abdel-Salam Nasr Mohammed F. AlRahmawy A.S. Tolba |
| author_sort | M. Abdel-Salam Nasr |
| collection | DOAJ |
| description | The most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos. The MS-SSIM approach is based on modeling of image luminance, contrast and structure at multiple scales. The MS-SSIM has resulted in much better performance than the single scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented algorithm are both: the higher detection accuracy and the quasi real-time processing speed. |
| format | Article |
| id | doaj-art-12aef6331da14f5f99fdfb20a292d7f0 |
| institution | Kabale University |
| issn | 1319-1578 |
| language | English |
| publishDate | 2017-07-01 |
| publisher | Springer |
| record_format | Article |
| series | Journal of King Saud University: Computer and Information Sciences |
| spelling | doaj-art-12aef6331da14f5f99fdfb20a292d7f02025-08-20T03:49:17ZengSpringerJournal of King Saud University: Computer and Information Sciences1319-15782017-07-0129339940910.1016/j.jksuci.2016.02.004Multi-scale structural similarity index for motion detectionM. Abdel-Salam Nasr0Mohammed F. AlRahmawy1A.S. Tolba2Computer Science Department, Faculty of Computers and Information Sciences, IDA, Ministry of Trade and Industry, EgyptComputer Science Department, Faculty of Computers and Information Sciences, Mansoura University, EgyptComputer Science Department, Faculty of Computers and Information Sciences, Mansoura University, EgyptThe most recent approach for measuring the image quality is the structural similarity index (SSI). This paper presents a novel algorithm based on the multi-scale structural similarity index for motion detection (MS-SSIM) in videos. The MS-SSIM approach is based on modeling of image luminance, contrast and structure at multiple scales. The MS-SSIM has resulted in much better performance than the single scale SSI approach but at the cost of relatively lower processing speed. The major advantages of the presented algorithm are both: the higher detection accuracy and the quasi real-time processing speed.http://www.sciencedirect.com/science/article/pii/S1319157816300088Motion detectionMulti-scale structural similarity indexDynamic template matching |
| spellingShingle | M. Abdel-Salam Nasr Mohammed F. AlRahmawy A.S. Tolba Multi-scale structural similarity index for motion detection Journal of King Saud University: Computer and Information Sciences Motion detection Multi-scale structural similarity index Dynamic template matching |
| title | Multi-scale structural similarity index for motion detection |
| title_full | Multi-scale structural similarity index for motion detection |
| title_fullStr | Multi-scale structural similarity index for motion detection |
| title_full_unstemmed | Multi-scale structural similarity index for motion detection |
| title_short | Multi-scale structural similarity index for motion detection |
| title_sort | multi scale structural similarity index for motion detection |
| topic | Motion detection Multi-scale structural similarity index Dynamic template matching |
| url | http://www.sciencedirect.com/science/article/pii/S1319157816300088 |
| work_keys_str_mv | AT mabdelsalamnasr multiscalestructuralsimilarityindexformotiondetection AT mohammedfalrahmawy multiscalestructuralsimilarityindexformotiondetection AT astolba multiscalestructuralsimilarityindexformotiondetection |