|
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter
Copyright Infringement Claims
Indexing Partner
|
Published Paper Details
|
|
| Paper Title: | Deep Learning based Video forgery detection using Tensor flow and CNN algorithm |
| Authors Name: | Shaikh Shorab |
| Unique Id: | IJSDR2211057 |
| Published In: | Volume 7 Issue 11, November-2022 |
| Abstract: | 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. |
| Keywords: | Information Security,Copy-move forgery detec- tion, Image forensics, Segmentation, Video Forgery Detection, Temporal Tampering, Estimation, Double Compression |
| Cite Article: | "Deep Learning based Video forgery detection using Tensor flow and CNN algorithm", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 11, page no.345 - 348, November-2022, Available :http://www.ijsdr.org/papers/IJSDR2211057.pdf |
| Downloads: | 000337070 |
| Publication Details: | Published Paper ID: IJSDR2211057 Registration ID:202539 Published In: Volume 7 Issue 11, November-2022 DOI (Digital Object Identifier): Page No: 345 - 348 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijsdr.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
Track Paper
Important Links
Conference Proposal
ISSN
 |
 |
DOI (A digital object identifier)
  Providing A digital object identifier by DOI How to GET DOI and Hard Copy Related |
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
 |
 |
 |
Social Media
Indexing Partner |
|||
| Copyright © 2024 - All Rights Reserved - IJSDR | |||
Facebook Twitter Instagram LinkedIn