The steps to achieve video time localization are as follows:
- Preparing the video file: Place the target video (e.g. in MP4 format) in the project's
data/input/Catalog. - Defining the query: Specify the description of the event that needs to be localized, such as the "character dance" or the "opening scene".
- Run the locator script: Execute command
python inference.py --video_path data/input/sample.mp4 --task temporal_grounding --query "人物跳舞"The - Getting results: Output in time period format (e.g. 00:04-00:06), which can be used directly for video editing or searching.
This feature relies on the model's combined visual and speech understanding and is suitable for quickly extracting key video segments. It is recommended to use it in conjunction with the timestamp annotation feature for richer event context information.
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 use ARC-Hunyuan-Video-7B to realize video time positioning?
English 
简体中文 
日本語 
Deutsch 
Português do Brasil