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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Main Author: Najmath, Ottakath (author)
Other Authors: Al-Ali, Abdulla (author), Al-Maadeed, Somaya (author), Elharrouss, Omar (author), Mohamed, Amr (author)
Format: article
Published: 2023
Subjects:
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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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
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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
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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