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.
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 full db.mp4
Add object tag data to mp4 chapters for exported video #3847 - GitHub Since video files are inherently linear and optimized
: 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. : To bypass the lossy nature of video
: 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 .