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AuthorNajmath, Ottakath
AuthorAl-Ali, Abdulla
AuthorAl-Maadeed, Somaya
AuthorElharrouss, Omar
AuthorMohamed, Amr
Available date2024-06-06T10:13:21Z
Publication Date2023-10-18
Publication NameJournal of King Saud University - Computer and Information Sciences
Identifierhttp://dx.doi.org/10.1016/j.jksuci.2023.101801
CitationOttakath, 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.
ISSN1319-1578
URIhttps://www.sciencedirect.com/science/article/pii/S1319157823003555
URIhttp://hdl.handle.net/10576/55865
AbstractVideos 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.
SponsorThis 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.
Languageen
PublisherElsevier
SubjectBlockchain
Computer Vision
Video surveillance
Video integrity
Video and image sharing
Privacy
TitleEnhanced computer vision applications with blockchain: A review of applications and opportunities
TypeArticle
Issue Number10
Volume Number35
Open Access user License http://creativecommons.org/licenses/by/4.0/
dc.accessType Open Access


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