Summary of Computer Vision For Multimedia Geolocation in Human Trafficking Investigation: a Systematic Literature Review, by Opeyemi Bamigbade and John Sheppard and Mark Scanlon
Computer Vision for Multimedia Geolocation in Human Trafficking Investigation: A Systematic Literature Review
by Opeyemi Bamigbade, John Sheppard, Mark Scanlon
First submitted to arxiv on: 23 Feb 2024
Categories
- Main: Computer Vision and Pattern Recognition (cs.CV)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY)
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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 This paper focuses on developing a crucial tool to combat human trafficking and child sexual exploitation by leveraging advancements in artificial intelligence, specifically computer vision and deep learning techniques. The goal is to expedite the process of multimedia geolocation, which has been an essential component of digital forensics. The study thoroughly reviews existing research on using computer vision-based approaches for multimedia geolocation and assesses their potential to aid human trafficking investigations. The findings highlight numerous pathways for future impactful research in this area. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper looks at how artificial intelligence can help investigators find the location where a photo or video was taken, which is important for fighting human trafficking and child exploitation. Right now, it’s hard for police to do this because metadata (extra information) is often removed from shared media content. The researchers looked at existing studies that used computer vision techniques to find geographical clues in multimedia content and found that these approaches could be helpful in combating human trafficking. |
Keywords
» Artificial intelligence » Deep learning
