ClipForensics

Building a Real-World Video Corpus for Media Authenticity Research

We are collecting short real-world video clips from phones, cameras, and everyday environments to help calibrate forensic signals used in media authenticity analysis.

Authentic camera footage contains subtle visual and temporal signatures that are essential for reliable forensic analysis. The ClipForensics Corpus is being built to capture these signals across a wide range of devices, scenes, and recording conditions.

What kind of clips are useful?

We are collecting short video clips that represent real-world camera capture. These clips help establish baseline signals used to distinguish authentic footage from manipulated or synthetic media.

Original camera footage
Edited clips
B-roll & environmental shots
Indoor scenes
Outdoor scenes
People, movement, or everyday activity

Clips do not need to be professionally produced. Everyday recordings from phones and consumer cameras are extremely valuable for calibration.

Clip requirements

Duration

3–30 seconds

Content

Original recordings, edited clips, or B-roll

Source

Phone cameras, DSLRs, mirrorless cameras, GoPros, or similar devices

Scenes

Any environment or subject matter (except sensitive or private material)

File size guidelines

Most useful clips fall well within typical consumer camera file sizes.

Source10 seconds30 seconds
Phone 1080p~25–30 MB~75–90 MB
Phone 4K~60 MB~180 MB
GoPro 4K~80 MB~240 MB
DSLR H.264~50 MB~150 MB
ProRes / RAW~500 MB~1.5 GB

Ideal file size: under 500 MB. Most phone and consumer camera clips are significantly smaller.

Maximum upload size: 2 GB

Dataset Progress

The corpus is currently in its early calibration stage. Early contributions help establish the baseline signals that forensic systems rely on.

Contribute a Clip

Upload a short clip (3–30 seconds). Most clips from phones or cameras fall between 20–200 MB.

Large original formats such as ProRes or RAW are accepted up to 2 GB.

Contribute a Clip

Uploaded clips are used only for research calibration and dataset analysis.