Abstract: A method delivers AI-based filmmaking tools by capturing scenes in various formats and applying processing techniques to affect visual outcomes. A system includes processors and memory to capture scenes, use distinctive film stocks, and apply film processing techniques for AI-based filmmaking tools. A non-transitory computer-readable medium has instructions for capturing scenes in different formats, using film stocks for distinctive looks, and applying processing techniques for AI-based filmmaking tools.

Abstract: A method trains a captioner model to generate captions for video content by organizing a dataset, extracting frames, associating metadata, segmenting video, applying labels, aggregating labels, training the model, refining it, deploying it for labeling, and post-processing labels. A computing system trains a captioner model by organizing datasets, extracting frames, associating metadata, segmenting videos, applying labels, aggregating labels, training the model, refining it, deploying it for labeling, and post-processing labels. A computer-readable medium has instructions for training a captioner model by organizing datasets, extracting frames, associating metadata, segmenting videos, applying labels, aggregating labels, training the model, refining it, deploying it for labeling, and post-processing labels.