DEEP-STA: Deep Learning-Based Detection and Localization of Various Types of Inter-Frame Video Tampe...
DEEP-STA: Deep Learning-Based Detection and Localization of Various Types of Inter-Frame Video Tampering Using Spatiotemporal Analysis
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
Inter-frame tampering in surveillance videos undermines the integrity of video evidence, potentially influencing law enforcement investigations and court decisions. This type of tampering is the most common tampering method, often imperceptible to the human eye. Until now, various algorithms have been proposed to identify such tampering, based on h...
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Full title
DEEP-STA: Deep Learning-Based Detection and Localization of Various Types of Inter-Frame Video Tampering Using Spatiotemporal Analysis
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TN_cdi_doaj_primary_oai_doaj_org_article_01f02a71fbac41388ea22c104957300d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_01f02a71fbac41388ea22c104957300d
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ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math12121778
