Deep Learning based Video forgery detection using Tensor flow and CNN algorithm
Information Security,Copy-move forgery detec- tion, Image forensics, Segmentation, Video Forgery Detection, Temporal Tampering, Estimation, Double Compression
Computerized Videos duplicate move falsification location could be a slanting theme in interactive media crime lo- cation examination. Securing recordings and other computerized media from a modifying has turned into an reason of concern. Video duplicate move falsification has progressively gotten a form of cyber crime that’s utilized to utilizing recordings for various malevolent purposes, as an example, giving phony confirmations in courtrooms, spreading counterfeit bits of gossip, utilizing it to malign a private. A good deal of approaches is proposed for distinguishing the follows left by any phony caused due to the duplicate move activity. Right now, we direct a review on these current methodologies which are applied for the invention of du- plicate – move recordings and furthermore for the distinguishing proof fabrication within the pictures. In a very portion of these techniques, the difficulty of duplicate move video fabrication has been cared-for utilizing various procedures. Strategies, for instance, commotion buildup, movement and splendor slopes, optical stream strategies understand just piece of the whole issue. This review examinations the present arrangements and what they provide to handle this issue.
"Deep Learning based Video forgery detection using Tensor flow and CNN algorithm", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.7, Issue 11, page no.345 - 348, November-2022, Available :https://ijsdr.org/papers/IJSDR2211057.pdf
Volume 7
Issue 11,
November-2022
Pages : 345 - 348
Paper Reg. ID: IJSDR_202539
Published Paper Id: IJSDR2211057
Downloads: 000347192
Research Area: Engineering
Country: -, -, -
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
