To achieve efficient key segment localization, the following operational scheme can be used:
- Using the time positioning function: Run command
python inference.py --video_path [file] --task temporal_grounding --query "关键词", the model returns the exact time period of the match (e.g.00:04-00:06). - Combined with timestamp labeling: first by
timestamp_captioningGenerate a description of the entire video and then utilize the JSON output in thestart_time/end_timeField batch retrieval. - Optimize query terms: Enter specific descriptions of actions (e.g., "character dancing" rather than "funny clip") to improve targeting accuracy.
- Accelerated Program: After installing the vLLM library, it takes only 10 seconds to locate a 1-minute video, which is suitable for scenarios that require real-time processing.
The method is particularly suitable for application scenarios that require precise localization, such as video editing and content auditing.
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 achieve quick localization of key clips in short videos?
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