Method, system, and computer-readable medium for training a captioner model to generate captions for video content by analyzing and predicting cinematic elements

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.

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