Enhanced computer vision applications with blockchain: A review of applications and opportunities
Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable information about individuals and their surroundings. These technologies fin...
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| Format: | article |
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2023
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| Online Access: | http://dx.doi.org/10.1016/j.jksuci.2023.101801 https://www.sciencedirect.com/science/article/pii/S1319157823003555 http://hdl.handle.net/10576/55865 |
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| _version_ | 1857415085144670208 |
|---|---|
| author | Najmath, Ottakath |
| author2 | Al-Ali, Abdulla Al-Maadeed, Somaya Elharrouss, Omar Mohamed, Amr |
| author2_role | author author author author |
| author_facet | Najmath, Ottakath Al-Ali, Abdulla Al-Maadeed, Somaya Elharrouss, Omar Mohamed, Amr |
| author_role | author |
| dc.creator.none.fl_str_mv | Najmath, Ottakath Al-Ali, Abdulla Al-Maadeed, Somaya Elharrouss, Omar Mohamed, Amr |
| dc.date.none.fl_str_mv | 2023-10-18 2024-06-06T10:13:21Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.jksuci.2023.101801 Ottakath, N., Al-Ali, A., Al-Maadeed, S., Elharrouss, O., & Mohamed, A. (2023). Enhanced computer vision applications with blockchain: A review of applications and opportunities. Journal of King Saud University-Computer and Information Sciences, 35(10), 101801. 1319-1578 https://www.sciencedirect.com/science/article/pii/S1319157823003555 http://hdl.handle.net/10576/55865 10 35 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Blockchain Computer Vision Video surveillance Video integrity Video and image sharing Privacy |
| dc.title.none.fl_str_mv | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable information about individuals and their surroundings. These technologies find applications in various domains, ranging from biometric entry cards and high-security clearances to surveillance. These applications form part of the Internet of Things (IoT), forming a centralized network. However, the proliferation of data and its sharing brings challenges related to security, privacy, and storage. Interactions with third-party systems may introduce vulnerabilities. To address these issues, researchers in computer vision have explored the integration of blockchain technology into various applications. This paper presents a comprehensive survey of blockchain applications in computer vision, focusing on image and video data sharing, video surveillance, biometrics, and video integrity protection. The aim is to explore how the blockchain can enhance the security, privacy, and authentication of them. It also discusses tools and techniques employed at the edge to achieve these objectives while highlighting opportunities for further improvements. Overall, this review provides insights into the integration of blockchain and computer vision, advancements, challenges, and future directions in leveraging image and video data in a blockchain-enabled environment. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_d23f862744efbfe7ef44da18da21a142 |
| identifier_str_mv | Ottakath, N., Al-Ali, A., Al-Maadeed, S., Elharrouss, O., & Mohamed, A. (2023). Enhanced computer vision applications with blockchain: A review of applications and opportunities. Journal of King Saud University-Computer and Information Sciences, 35(10), 101801. 1319-1578 10 35 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/55865 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by/4.0/ |
| spelling | Enhanced computer vision applications with blockchain: A review of applications and opportunitiesNajmath, OttakathAl-Ali, AbdullaAl-Maadeed, SomayaElharrouss, OmarMohamed, AmrBlockchainComputer VisionVideo surveillanceVideo integrityVideo and image sharingPrivacyVideos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable information about individuals and their surroundings. These technologies find applications in various domains, ranging from biometric entry cards and high-security clearances to surveillance. These applications form part of the Internet of Things (IoT), forming a centralized network. However, the proliferation of data and its sharing brings challenges related to security, privacy, and storage. Interactions with third-party systems may introduce vulnerabilities. To address these issues, researchers in computer vision have explored the integration of blockchain technology into various applications. This paper presents a comprehensive survey of blockchain applications in computer vision, focusing on image and video data sharing, video surveillance, biometrics, and video integrity protection. The aim is to explore how the blockchain can enhance the security, privacy, and authentication of them. It also discusses tools and techniques employed at the edge to achieve these objectives while highlighting opportunities for further improvements. Overall, this review provides insights into the integration of blockchain and computer vision, advancements, challenges, and future directions in leveraging image and video data in a blockchain-enabled environment.This research work was made possible by research grant support (QUEX-CENG-SCDL-19/20-1) from Supreme Committee for Delivery and Legacy (SC) in Qatar.Elsevier2024-06-06T10:13:21Z2023-10-18Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.jksuci.2023.101801Ottakath, N., Al-Ali, A., Al-Maadeed, S., Elharrouss, O., & Mohamed, A. (2023). Enhanced computer vision applications with blockchain: A review of applications and opportunities. Journal of King Saud University-Computer and Information Sciences, 35(10), 101801.1319-1578https://www.sciencedirect.com/science/article/pii/S1319157823003555http://hdl.handle.net/10576/558651035enhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/558652024-07-23T15:53:56Z |
| spellingShingle | Enhanced computer vision applications with blockchain: A review of applications and opportunities Najmath, Ottakath Blockchain Computer Vision Video surveillance Video integrity Video and image sharing Privacy |
| status_str | publishedVersion |
| title | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| title_full | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| title_fullStr | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| title_full_unstemmed | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| title_short | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| title_sort | Enhanced computer vision applications with blockchain: A review of applications and opportunities |
| topic | Blockchain Computer Vision Video surveillance Video integrity Video and image sharing Privacy |
| url | http://dx.doi.org/10.1016/j.jksuci.2023.101801 https://www.sciencedirect.com/science/article/pii/S1319157823003555 http://hdl.handle.net/10576/55865 |