A novel video forgery detection algorithm for blue screen compositing based on 3-stage foreground analysis and tracking-Reference-Cited by-同舟云学术

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A novel video forgery detection algorithm for blue screen compositing based on 3-stage foreground analysis and tracking

Published:2017-04-08 Issue:6 Volume:77 Page:7405-7427
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Liu Yuqing,Huang Tianqiang,Liu Yanfang

Funder

National Natural Science Foundation of China

The Hundreds of Young Teachers of Climbing Project of Longyan University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

http://link.springer.com/article/10.1007/s11042-017-4652-7/fulltext.html

Reference30 articles.

1. Bagiwa MA, Wahab AWA et al (2016) Chroma key background detection for digital video using statistical correlation of blurring artifact. Digit Investig 19:29–43

2. Bidokhti A, Ghaemmaghami S (2015) Detection of regional copy/move forgery in MPEG videos using optical flow. Artificial Intelligence and Signal Processing (AISP), 2015 International Symposium on

3. Candes EJ, Tao T (2006) Near optimal signal recovery from random projections: universal encoding strategies. IEEE Trans Inf Theory 52(12):5406–5425

4. Chen W, Yang G, Chen R, Zhu N (2011) Digital video passive forensics for its authenticity and source. J Commun 32(6):77–182

5. GB Chittapur et al (2014) Exposing digital forgery in video by mean frame comparison techniques. Emerging Research in Electronics, Computer Science and Technology. Springer India, 557–562

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