Compression of Patient Monitoring Video Using Motion Segmentation Technique
The volume of patient monitoring video acquired in hospitals is very huge and hence there is a need for better compression of the same for effective storage and transmission. This paper presents a new motion Segmentation technique, which improves the compression of patient monitoring video. The prop...
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| Format: | Article |
| Language: | English |
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SPRINGER
2007
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| Online Access: | http://shdl.mmu.edu.my/3073/ http://shdl.mmu.edu.my/3073/1/1095.pdf |
| _version_ | 1848790226620645376 |
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| author | Shyamsunder, R. Eswaran, C. Sriraam, N. |
| author_facet | Shyamsunder, R. Eswaran, C. Sriraam, N. |
| author_sort | Shyamsunder, R. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | The volume of patient monitoring video acquired in hospitals is very huge and hence there is a need for better compression of the same for effective storage and transmission. This paper presents a new motion Segmentation technique, which improves the compression of patient monitoring video. The proposed motion segmentation technique makes use of a binary mask, which is obtained by thresholding the standard deviation values of the pixels along the temporal axis. Two compression methods, which make use of the proposed motion segmentation technique, are presented. The first method uses MPEG-4 coder and 9/7-biorthogonal wavelet for compressing the moving and stationary portions of the video respectively. The second method uses 5/3-biorthogonal wavelet for compressing both the moving and the stationary portions of the video. The performances of these compression algorithms are evaluated in terrns of PSNR and bitrate. From the experimental results, it is found that the proposed motion technique improves the performance of the MPEG-4 coder. Among the two compression methods presented, the MPEG-4 based method performs better for bitrates less than 767 Kbps whereas for bitrates above 767 Kbps the performance of the wavelet based method is found superior. |
| first_indexed | 2025-11-14T18:09:15Z |
| format | Article |
| id | mmu-3073 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:09:15Z |
| publishDate | 2007 |
| publisher | SPRINGER |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-30732014-02-27T07:40:18Z http://shdl.mmu.edu.my/3073/ Compression of Patient Monitoring Video Using Motion Segmentation Technique Shyamsunder, R. Eswaran, C. Sriraam, N. T Technology (General) RA421-790.95 Public health. Hygiene. Preventive medicine The volume of patient monitoring video acquired in hospitals is very huge and hence there is a need for better compression of the same for effective storage and transmission. This paper presents a new motion Segmentation technique, which improves the compression of patient monitoring video. The proposed motion segmentation technique makes use of a binary mask, which is obtained by thresholding the standard deviation values of the pixels along the temporal axis. Two compression methods, which make use of the proposed motion segmentation technique, are presented. The first method uses MPEG-4 coder and 9/7-biorthogonal wavelet for compressing the moving and stationary portions of the video respectively. The second method uses 5/3-biorthogonal wavelet for compressing both the moving and the stationary portions of the video. The performances of these compression algorithms are evaluated in terrns of PSNR and bitrate. From the experimental results, it is found that the proposed motion technique improves the performance of the MPEG-4 coder. Among the two compression methods presented, the MPEG-4 based method performs better for bitrates less than 767 Kbps whereas for bitrates above 767 Kbps the performance of the wavelet based method is found superior. SPRINGER 2007-04 Article NonPeerReviewed text en http://shdl.mmu.edu.my/3073/1/1095.pdf Shyamsunder, R. and Eswaran, C. and Sriraam, N. (2007) Compression of Patient Monitoring Video Using Motion Segmentation Technique. Journal of Medical Systems, 31 (2). 109-116 . ISSN 0148-5598 http://dx.doi.org/10.1007/s10916-006-9036-x doi:10.1007/s10916-006-9036-x doi:10.1007/s10916-006-9036-x |
| spellingShingle | T Technology (General) RA421-790.95 Public health. Hygiene. Preventive medicine Shyamsunder, R. Eswaran, C. Sriraam, N. Compression of Patient Monitoring Video Using Motion Segmentation Technique |
| title | Compression of Patient Monitoring Video Using Motion Segmentation Technique |
| title_full | Compression of Patient Monitoring Video Using Motion Segmentation Technique |
| title_fullStr | Compression of Patient Monitoring Video Using Motion Segmentation Technique |
| title_full_unstemmed | Compression of Patient Monitoring Video Using Motion Segmentation Technique |
| title_short | Compression of Patient Monitoring Video Using Motion Segmentation Technique |
| title_sort | compression of patient monitoring video using motion segmentation technique |
| topic | T Technology (General) RA421-790.95 Public health. Hygiene. Preventive medicine |
| url | http://shdl.mmu.edu.my/3073/ http://shdl.mmu.edu.my/3073/ http://shdl.mmu.edu.my/3073/ http://shdl.mmu.edu.my/3073/1/1095.pdf |