hash_fingerprint

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Description

Creates unique fingerprints of video files using checksums, perceptual hashing, or frame-level hashing.
Useful for deduplication, archival identification, similarity matching, and database cataloging.

Purpose

hash_fingerprint allows Videobeaux users to generate machine-identifiable signatures from media files.
This supports:

• duplicate detection,
• content-based indexing,
• frame-level comparison,
• large-scale archival workflows,
• catalog metadata generation,
• cross-system verification of assets.

How It Works

1. File System Scanning
   • recursive allows walking entire folder trees.
   • exts restricts scanning to specific file types.
2. Hash Types
   The tool can generate several forms of fingerprints:
   • file_hashes → whole-file digests (MD5, SHA1, etc.)
   • stream_hash → stream-level checksums from container metadata
   • framemd5 → per-frame MD5s for high-precision comparison
   • phash → perceptual hash used for similarity matching rather than byte-exact comparison
3. Perceptual Hashing Controls
   • phash_fps determines how many frames per second are sampled.
   • phash_size sets the resolution of the perceptual hash grid.
4. Catalog Output
   A fingerprint catalog can be generated for long-term storage, search systems, or dataset builds.
5. Stream Selection
   stream_kind allows selecting video/audio/subtitle streams depending on the hashing method.

Program Template

videobeaux -P hash_fingerprint \
  -i input.mp4 \
  -o output.mp4 \
  --recursive VALUE \
  --exts VALUE \
  --file_hashes VALUE \
  --stream_hash VALUE \
  --framemd5 VALUE \
  --phash VALUE \
  --phash_fps VALUE \
  --phash_size VALUE \
  --catalog VALUE \
  --stream_kind VALUE

Arguments

• recursive — Enables recursive folder scanning for batch fingerprinting.
• exts — Comma-separated extensions to include (e.g., mp4,mov,mkv).
• file_hashes — Generates byte-level file digests for exact-match identification.
• stream_hash — Computes hash digests for individual media streams.
• framemd5 — Produces an MD5 hash for every decoded frame; extremely precise but large.
• phash — Enables perceptual hashing for similarity comparisons.
• phash_fps — Number of frames per second to sample for phash generation.
• phash_size — Resolution of the phash grid (larger = more detail).
• catalog — Outputs results into a catalog file for later lookup or indexing.
• stream_kind — Specifies which stream type to fingerprint (e.g., v, a, s).

Real World Example

videobeaux -P hash_fingerprint \
  -i myvideo.mp4 \
  -o hash_fingerprint_styled.mp4 \
  --recursive false \
  --exts mp4,mov \
  --file_hashes true \
  --stream_hash true \
  --framemd5 false \
  --phash true \
  --phash_fps 1 \
  --phash_size 32 \
  --catalog true \
  --stream_kind v

Technical Notes

• File hashes ensure perfect binary-level identification, but cannot detect visually similar variants.
• Perceptual hashing (phash) is ideal for detecting duplicates that differ by transcoding, compression, or scaling.
• framemd5 is extremely accurate but produces large files; best for forensic comparison.
• Catalog files allow large-scale search across thousands of items.
• Adjust phash_fps and phash_size to balance between accuracy and performance.

Recommended Usage

• Archival fingerprinting for media libraries.
• Deduplication of large video collections.
• Detecting alternate encodes of the same content.
• Forensic verification and tamper detection.
• Preparing similarity datasets for AI/ML workflows.

Quality Tips

• Use phash_fps=1–3 for good coverage without heavy overhead.
• Higher phash_size (e.g., 32–64) improves discrimination of similar videos.
• Use framemd5 only when exact frame-level matching is required.
• Always include catalog=true for batch processing or long-term reference.