Remote medical video region tamper detection system based on Wireless Sensor Network
INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METH...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Sujuan Li [verfasserIn] Shichen Huang [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Übergeordnetes Werk: |
In: EAI Endorsed Transactions on Pervasive Health and Technology - European Alliance for Innovation (EAI), 2016, 8(2022), 31 |
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| Übergeordnetes Werk: |
volume:8 ; year:2022 ; number:31 |
| Links: |
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| DOI / URN: |
10.4108/eetpht.v8i31.702 |
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DOAJ021640912 |
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| 520 | |a INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. | ||
| 650 | 4 | |a Wireless sensor network | |
| 650 | 4 | |a Telemedicine | |
| 650 | 4 | |a Video area | |
| 650 | 4 | |a Tampering detection system | |
| 650 | 4 | |a Sensor nodes | |
| 650 | 4 | |a Suspicious movement point | |
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10.4108/eetpht.v8i31.702 doi (DE-627)DOAJ021640912 (DE-599)DOAJ71d6ee22d9d74a39b44c5947ab510fef DE-627 ger DE-627 rakwb eng R855-855.5 Sujuan Li verfasserin aut Remote medical video region tamper detection system based on Wireless Sensor Network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. Wireless sensor network Telemedicine Video area Tampering detection system Sensor nodes Suspicious movement point Medicine R Medical technology Shichen Huang verfasserin aut In EAI Endorsed Transactions on Pervasive Health and Technology European Alliance for Innovation (EAI), 2016 8(2022), 31 (DE-627)1030002541 24117145 nnns volume:8 year:2022 number:31 https://doi.org/10.4108/eetpht.v8i31.702 kostenfrei https://doaj.org/article/71d6ee22d9d74a39b44c5947ab510fef kostenfrei https://publications.eai.eu/index.php/phat/article/view/702 kostenfrei https://doaj.org/toc/2411-7145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 8 2022 31 |
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10.4108/eetpht.v8i31.702 doi (DE-627)DOAJ021640912 (DE-599)DOAJ71d6ee22d9d74a39b44c5947ab510fef DE-627 ger DE-627 rakwb eng R855-855.5 Sujuan Li verfasserin aut Remote medical video region tamper detection system based on Wireless Sensor Network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. Wireless sensor network Telemedicine Video area Tampering detection system Sensor nodes Suspicious movement point Medicine R Medical technology Shichen Huang verfasserin aut In EAI Endorsed Transactions on Pervasive Health and Technology European Alliance for Innovation (EAI), 2016 8(2022), 31 (DE-627)1030002541 24117145 nnns volume:8 year:2022 number:31 https://doi.org/10.4108/eetpht.v8i31.702 kostenfrei https://doaj.org/article/71d6ee22d9d74a39b44c5947ab510fef kostenfrei https://publications.eai.eu/index.php/phat/article/view/702 kostenfrei https://doaj.org/toc/2411-7145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 8 2022 31 |
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10.4108/eetpht.v8i31.702 doi (DE-627)DOAJ021640912 (DE-599)DOAJ71d6ee22d9d74a39b44c5947ab510fef DE-627 ger DE-627 rakwb eng R855-855.5 Sujuan Li verfasserin aut Remote medical video region tamper detection system based on Wireless Sensor Network 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. Wireless sensor network Telemedicine Video area Tampering detection system Sensor nodes Suspicious movement point Medicine R Medical technology Shichen Huang verfasserin aut In EAI Endorsed Transactions on Pervasive Health and Technology European Alliance for Innovation (EAI), 2016 8(2022), 31 (DE-627)1030002541 24117145 nnns volume:8 year:2022 number:31 https://doi.org/10.4108/eetpht.v8i31.702 kostenfrei https://doaj.org/article/71d6ee22d9d74a39b44c5947ab510fef kostenfrei https://publications.eai.eu/index.php/phat/article/view/702 kostenfrei https://doaj.org/toc/2411-7145 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ AR 8 2022 31 |
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Remote medical video region tamper detection system based on Wireless Sensor Network |
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INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. |
| abstractGer |
INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. |
| abstract_unstemmed |
INTRODUCTION: A new telemedicine video tamper detection system based on wireless sensor network is proposed and designed in this paper. OBJECTIVES: This work is proposed to improve the performance of telemedicine video communication and accurately detect the tamper area in telemedicine video. METHODS: The sensor nodes in the sensing layer are responsible for collecting telemedicine video information and transmitting the information to the data layer. The data layer completes the storage of information and transmits it to the processing layer. The detection module of the processing layer detects the tampered area of the telemedicine video through two parts: suspicious moving point calculation and tamper detection, and transmits the detection results to the application display layer for display. RESULTS: The experimental results show that the designed detection system can accurately detect the tampered area in the telemedicine video, and the packet loss rate is significantly reduced, and the maximum packet loss rate is no more than 1%. CONCLUSION: The proposed detection system for remote medical video based on wireless sensor network can better meet the requirements of region tamper detection. |
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Remote medical video region tamper detection system based on Wireless Sensor Network |
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https://doi.org/10.4108/eetpht.v8i31.702 https://doaj.org/article/71d6ee22d9d74a39b44c5947ab510fef https://publications.eai.eu/index.php/phat/article/view/702 https://doaj.org/toc/2411-7145 |
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Shichen Huang |
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Shichen Huang |
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10.4108/eetpht.v8i31.702 |
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2024-07-03T22:02:23.609Z |
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