The following measures need to be taken to optimize for Chinese videos:
- Leverage native supportThe model is specially optimized for Chinese videos, and the analysis results are better than those in English by directly inputting Chinese content.
- Additional textual informationIf the video contains subtitles or speech-to-text content, the model will prioritize the analysis in conjunction with the text modality to significantly improve the comprehension accuracy.
- Sentiment Analysis Enhancement: Chinese emotional expressions (e.g., Internet buzzwords) can be expressed through the
video_qaThe task asks questions (e.g., "What emotion does the video express?") , the model recognizes emotion words specific to Chinese. - Localized DeploymentLocal operation avoids the loss of speech/text information due to network transmission and guarantees the recognition of Chinese dialects in particular, compared to online APIs.
Be careful to avoid using over-compressed videos that may lose Chinese subtitles or voice details.
This answer comes from the articleARC-Hunyuan-Video-7B: An Intelligent Model for Understanding Short Video ContentThe
May not be reproduced without permission:AI productivity tools " How to optimize the model's processing effect on Chinese short videos?
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