Tarsier's core tips for handling long videos
Videos longer than 10 minutes suffer from uneven information density and recommended solutions:
- time interval analysis: Use the -video_segments parameter to divide the 5-minute segments and process them separately before aggregating them
- importance sampling: Enable motion_detection mode to prioritize the analysis of footage with large frame changes.
- hierarchical summary: Generate an outline with -task recap, then use -task detail to get details on key passages
- Memory Optimization: add -frame_interval 3 parameter to reduce sample rate, 16GB memory can process 30 minutes of video
Case: After using this method for a legal program, the completeness of key information extraction for a 1-hour trial video was increased from 60% to 88%.
This answer comes from the articleTarsier: an open source video comprehension model for generating high-quality video descriptionsThe
May not be reproduced without permission:AI productivity tools " How to overcome the challenge of extracting key information from long videos?
