Full Db.mp4 -

: A separate, lightweight JSON-based index maps specific text embeddings or data chunks to precise timestamps or byte offsets within the MP4.

A helpful feature for the unconventional concept of using an MP4 file as a database, like in projects such as MemVid , would be . Temporal Semantic Indexing

Since video files are inherently linear and optimized for sequential playback, a major hurdle is efficiently searching for specific "data points" (frames) without re-encoding the whole file. full db.mp4

: For streaming database access, use fragmented MP4s that allow a client to request only the specific "data segments" needed rather than downloading the entire multi-gigabyte file.

: This allows for sub-second search times across millions of text chunks by leveraging a video player’s "seek" functionality to jump directly to the relevant data. Other Practical Feature Ideas : A separate, lightweight JSON-based index maps specific

: Use MP4 chapter tags to label events or data types within the file. This makes the "database" human-readable in standard media players like VLC .

: To bypass the lossy nature of video compression, data can be encoded into high-contrast QR-code-like patterns in each frame, ensuring that the original text can be perfectly reconstructed during retrieval. : For streaming database access, use fragmented MP4s

Add object tag data to mp4 chapters for exported video #3847 - GitHub