Mavors introduces a multi-granularity approach that enables more effective video understanding in multimodal large language models while maintaining computational efficiency.

• Solves the critical balance between computational efficiency and detailed pattern recognition in long videos
• Captures both broad context and fine-grained details through innovative multi-level representation
• Outperforms existing approaches by preserving temporal dynamics and spatial details
• Particularly effective for videos with complex motion patterns or varying resolutions

For security applications, this advancement enables more sophisticated video surveillance systems capable of detecting subtle anomalies and complex behaviors in real-time monitoring scenarios.

Mavors: Multi-granularity Video Representation for Multimodal Large Language Model