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Journals / Journal of Scientific Reports-A / 2022 / Sayı: 049

LOCATION PROOFING USING VIDEO SIMILARITY

Cavide Balkı GEMİRTER
Tacha SERIF
Pages
139–157
Publication Date
2022-06-30
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The indoor location test results of our prototype indicate that it can achieve a verification accuracy of 97.05% on average in 9.67 seconds.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:With the increasing availability of mobile devices and technological improvements, location-based services have become a vital part of our everyday lives.
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Key Findings & Data:However, a layer of checks and verifications might be required to identify the user’s declared location authenticity, since it is possible to bypass GPS or any other indoor location detection solutions.
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Conclusion & Impact:The indoor location test results of our prototype indicate that it can achieve a verification accuracy of 97.05% on average in 9.67 seconds.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Location Proofing · Indoor Location Proofing · Video Similarity

Abstract

With the increasing availability of mobile devices and technological improvements, location-based services have become a vital part of our everyday lives. However, a layer of checks and verifications might be required to identify the user’s declared location authenticity, since it is possible to bypass GPS or any other indoor location detection solutions. Existing location proofing solutions mainly propose techniques requiring some sort of an infrastructure, such as access points and/or beacons, or a co-located prover, witnesses and verifier formation to prove the presence of the user. This paper proposes a location proofing solution using the video similarity technique, which is based on the comparison of visual similarities in video pairs to determine the surrounding environment without any infrastructural overhead. The indoor location test results of our prototype indicate that it can achieve a verification accuracy of 97.05% on average in 9.67 seconds.

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Cite This Article

GEMİRTER, C. B., SERIF, T. (2022). LOCATION PROOFING USING VIDEO SIMILARITY. Journal of Scientific Reports-A, Sayı: 049, 139–157. https://ajindex.com/articles/778956

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