Summary of Digital Video Manipulation Detection Technique Based on Compression Algorithms, by Edgar Gonzalez Fernandez et al.
Digital Video Manipulation Detection Technique Based on Compression Algorithms
by Edgar Gonzalez Fernandez, Ana Lucila Sandoval Orozco, Luis Javier Garcia Villalba
First submitted to arxiv on: 3 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Cryptography and Security (cs.CR); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed paper presents a forensic technique for detecting manipulation of images and videos using compression algorithms from the H.264 coding standard. The authors analyze macroblocks, motion vectors, and other characteristics to identify recompression patterns in multimedia content. A Vector Support Machine is used to create an accurate model for detecting video recompression. This research aims to improve digital forensics capabilities by providing a reliable method for identifying intentionally modified images and videos. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Digital manipulation of images and videos can have serious consequences, making it essential to develop effective forensic techniques to detect intentional modifications. The proposed technique uses advanced coding standards like H.264-MPEG4 to analyze compression patterns in multimedia content. By identifying recompression patterns, this method aims to provide a reliable way to detect if a video has been intentionally modified. |
