VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking

1. 1Leverage video logic flow to identify critical evidence
2. 2Implement tool-guided seeking to actively search for answer-critical frames
3. 3Reduce the number of frames parsed to decrease computational cost
4. 4Evaluate the model's performance on long-horizon video-language tasks

Researchers and engineers working on video-language tasks can benefit from VideoSeek's approach to improve model efficiency, and product managers can consider its potential for applications in areas like video analysis and retrieval

💡 Using tool-guided seeking can significantly reduce the number of frames needed to be parsed, improving model efficiency

💡 VideoSeek reduces computational cost in video-language tasks by actively seeking answer-critical evidence