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网络与信息安全学报
Article . 2017
Data sources: DOAJ
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Passive forensics for video object removal tampering

descriptionPublicationkeyboard_double_arrow_right Article 01 Feb 2017 English Publisher:POSTS&TELECOM PRESS Co., LTDJournal:网络与信息安全学报 (issn: 2096-109X, Copyright policy )
Authors: Ye YAO,Wei-tong HU,Yi-zhi REN;

Passive forensics for video object removal tampering

Abstract

Firstly, the concept and importance of digital video object removal tampering forensics were introduced. Then, several current passive forensics algorithms for object removal tampering were selected and divided into two categories that based on correlation analysis and based on machine learning algorithm according to development trends. The selected passive forensics algorithms were introduced in detail. Finally, some possible research trends in video object removal tampering detections in the future were looked forward to.

Keywords

tampering detection, Electronic computers. Computer science, QA75.5-76.95, video object tampering, passive forensics, digital video forensics

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold