: 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.
: 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 . full db.mp4
: 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 : To bypass the lossy nature of video
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 : This allows for sub-second search times across
: 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.
: A separate, lightweight JSON-based index maps specific text embeddings or data chunks to precise timestamps or byte offsets within the MP4.
Add object tag data to mp4 chapters for exported video #3847 - GitHub