How does this skill use FFmpeg?

It provides optimized commands to extract identical frames from different sources at specific timestamps for side-by-side visual comparison.

What is the best way to visually compare frames?

The skill recommends using SlowPics in 'clicker mode' to rapidly toggle between frames, making it easier to spot differences in grain and detail.

Can it distinguish between native 4K and upscaled 4K?

Yes, it provides a framework to look for AI artifacts, hallucinations, and edge haloing that indicate a source was upscaled from a lower resolution.

Does a higher bitrate always mean better video quality?

No, bitrate is secondary to encoder efficiency and whether destructive filtering or upscaling was applied to the source during authoring.

Video Source Comparison

Name: Video Source Comparison
Author: robbyt

byrobbyt

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기타

Evaluates and compares video quality across multiple releases using metadata analysis and visual frame inspection.

소개

The source-compare skill provides a structured framework for determining the superior version of a video when multiple releases are available. It guides users through metadata gathering with MediaInfo, precise frame extraction with FFmpeg, and visual auditing via tools like SlowPics. By focusing on how closely a source resembles the original master rather than just technical specs, this skill helps identify artifacts like lowpassing, artificial sharpening, and compression noise to ensure you select the highest fidelity content.

주요 기능

MediaInfo metadata analysis for codec and bitrate comparison
37 GitHub stars
Visual auditing for banding, ringing, and texture preservation
Native resolution vs. upscale verification
Filtering detection for lowpassing and over-sharpening
Precise FFmpeg frame extraction workflows

사용 사례

Comparing quality across different regional distribution studios
Verifying the legitimacy of 4K remasters and HDR metadata
Deciding between a physical Blu-ray release and a Web-DL version

소개

주요 기능

MediaInfo metadata analysis for codec and bitrate comparison
37 GitHub stars
Visual auditing for banding, ringing, and texture preservation
Native resolution vs. upscale verification
Filtering detection for lowpassing and over-sharpening
Precise FFmpeg frame extraction workflows

사용 사례

Comparing quality across different regional distribution studios
Verifying the legitimacy of 4K remasters and HDR metadata
Deciding between a physical Blu-ray release and a Web-DL version