Multi-modal federated encoding framework for encrypted video stream data compaction

A computer system comprising a hardware memory, wherein the computer system is configured to execute software instructions stored on nontransitory machine-readable storage media that:

• acquire a video stream;
• pre-process the video stream to reduce redundancy and segment the video into a plurality of data blocks;
• analyze statistical characteristics of the pre-processed video stream to guide data conditioning;
• detect anomalies within the video stream by evaluating spatial or temporal irregularities in the pre-processed data;
• generate:
• a conditioned video stream based at least on the statistical analysis;
• an error stream representing changes applied during conditioning;
• and
• an anomaly meta-stream comprising metadata identifying detected anomalies and their corresponding locations;
• synchronize with one or more remote systems to negotiate a compatible codebook for data compression, including optionally exchanging codebook delta information representing differences between local and remote codebooks;
• compress the conditioned video stream using the negotiated codebook comprising mappings between sourceblocks and codewords;
• and
• output a compacted representation comprising the compressed conditioned stream, the error stream, and the anomaly meta-stream.