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The last is Fine-Tuning.
In this paper, we propose a video-clip indexing model using contextual data based on intelligent content analysis.
This model enables fine-tuning using contextual data extracted from videos.
First, we use scripts extracted using STT technology.
By comparing the extracted script with the subtitle data embedded in the video, the accuracy of the extracted script is checked and calibrated.
Adjust the hyper-parameters used to train the model and improve the model performance through cross-validation.
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