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 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 text embeddings or data chunks to precise timestamps or byte offsets within the MP4.
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.
Add object tag data to mp4 chapters for exported video #3847 - GitHub
: 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 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 millions of text chunks by leveraging a video player’s "seek" functionality to jump directly to the relevant data. Other Practical Feature Ideas 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
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. Since video files are inherently linear and optimized
Add object tag data to mp4 chapters for exported video #3847 - GitHub
: 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.