HFS: Optimizing Video Reasoning Efficiency with Holistic Query-Aware Frame Selection
Analysis
The research focuses on improving the efficiency of video reasoning by selectively choosing relevant frames. This approach has the potential to significantly reduce computational costs in complex video analysis tasks.
Key Takeaways
- •Addresses the challenge of computational inefficiency in video reasoning.
- •Proposes a holistic, query-aware frame selection method.
- •Potentially improves the speed and resource usage of video analysis models.
Reference
“The research is sourced from ArXiv.”