कवर छवि

A Comprehensive Review on File Containers-Based Image and Video Forensics

में बचाया:
में प्रकाशित:Computers, Materials, & Continua vol. 85, no. 2 (2025), p. 2487-2527
मुख्य लेखक: Yang, Pengpeng
अन्य लेखक: Chen, Zhou, Shullani, Dasara, Liu, Lanxi, Baracchi, Daniele
प्रकाशित:
Tech Science Press
विषय:
Qualitative analysis
Containers
Video data
Video post-production
Forensic sciences
Image processing
Content analysis
ऑनलाइन पहुंच:Citation/Abstract
Full Text - PDF
टैग: टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!

MARC

LEADER 00000nab a2200000uu 4500
001 3259841288
003 UK-CbPIL
022 |a 1546-2218 
022 |a 1546-2226 
024 7 |a 10.32604/cmc.2025.069129  |2 doi 
035 |a 3259841288 
045 2 |b d20250101  |b d20251231 
100 1 |a Yang, Pengpeng  |u Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China, Department of Information Engineering, University of Florence, via di S. Marta 3, Firenze, 50134, Italy 
245 1 |a A Comprehensive Review on File Containers-Based Image and Video Forensics 
260 |b Tech Science Press  |c 2025 
513 |a Journal Article 
520 3 |a Images and videos play an increasingly vital role in daily life and are widely utilized as key evidentiary sources in judicial investigations and forensic analysis. Simultaneously, advancements in image and video processing technologies have facilitated the widespread availability of powerful editing tools, such as Deepfakes, enabling anyone to easily create manipulated or fake visual content, which poses an enormous threat to social security and public trust. To verify the authenticity and integrity of images and videos, numerous approaches have been proposed, which are primarily based on content analysis and their effectiveness is susceptible to interference from various image or video post-processing operations. Recent research has highlighted the potential of file containers analysis as a promising forensic approach that offers efficient and interpretable results. However, there is still a lack of review articles on this kind of approach. In order to fill this gap, we present a comprehensive review of file containers-based image and video forensics in this paper. Specifically, we categorize the existing methods into two distinct stages, qualitative analysis and quantitative analysis. In addition, an overall framework is proposed to organize the exiting approaches. Then, the advantages and disadvantages of the schemes used across different forensic tasks are provided. Finally, we outline the trends in this research area, aiming to provide valuable insights and technical guidance for future research. 
653 |a Qualitative analysis 
653 |a Containers 
653 |a Video data 
653 |a Video post-production 
653 |a Forensic sciences 
653 |a Image processing 
653 |a Content analysis 
700 1 |a Chen, Zhou  |u Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China 
700 1 |a Shullani, Dasara  |u Department of Information Engineering, University of Florence, via di S. Marta 3, Firenze, 50134, Italy 
700 1 |a Liu, Lanxi  |u Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering, College of Computer and Information Technology, China Three Gorges University, Yichang, 443002, China 
700 1 |a Baracchi, Daniele  |u Department of Information Engineering, University of Florence, via di S. Marta 3, Firenze, 50134, Italy 
773 0 |t Computers, Materials, & Continua  |g vol. 85, no. 2 (2025), p. 2487-2527 
786 0 |d ProQuest  |t Publicly Available Content Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3259841288/abstract/embedded/6A8EOT78XXH2IG52?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3259841288/fulltextPDF/embedded/6A8EOT78XXH2IG52?source=fedsrch