STRIDE: When to Speak Meets Sequence Denoising for Streaming Video Understanding

1. 1Formulate proactive activation in streaming video as a structured sequence modeling problem
2. 2Apply sequence denoising to handle noisy or incomplete video frames
3. 3Integrate when to speak and sequence denoising for improved streaming video understanding
4. 4Evaluate the performance of STRIDE on real-world streaming video datasets

AI engineers and researchers working on video large language models (Video-LLMs) can benefit from this approach to improve streaming video perception and interaction, as it enables the system to decide when to respond to video frames

💡 Combining sequence denoising with proactive activation improves streaming video perception and interaction

📹 STRIDE enables proactive interaction in streaming video understanding #AI #VideoLLMs