Review of passive-blind detection in digital video forgery based on sensing and imaging techniques-Reference-Cited by-同舟云学术

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Review of passive-blind detection in digital video forgery based on sensing and imaging techniques

Published:2017-01-05 Issue: Volume: Page:
ISSN:0277-786X
Container-title:SPIE Proceedings
language:
Short-container-title:

Author:

Tao Junjie¹,Jia Lili¹,You Ying¹

Affiliation:

1. 3rd Research Institute of Ministry of Public Security (China)

Publisher

SPIE

Reference16 articles.

1. CCD fingerprint method identification of a video camera from videotaped images;Kurosawa;ICIP 9,1999

2. A Sorted Neighborhood Approach for Detecting Duplicated Regions in Image Forgeries based on DWT and SVD;Li,2007

3. Source camera identification based on CFA interpolation;Bayram,2005

4. Image Based Source Camera Identification using Demosaicking;Long;IEEE Workshop on Multimedia Signal Processing,2006

5. Detecting Image Splicing using Geometry Invariants and Camera Characteristics Consistency;Hsu,2006

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Digital video tampering detection using texture with compressed passive technic;AIP Conference Proceedings;2024

2. Video interframe forgery detection: Classification, technique & new dataset;Journal of Computer Security;2021-08-26

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