An M3-Agent Solution to Address Information Fragmentation in Long Videos
The information fragmentation problem is common when dealing with long videos, which is mainly manifested in 1) the key information is scattered in different time nodes 2) the characters/objects appear in a large span of time 3) the correlation of events across segments is lost.M3-Agent solves the problem by the following scheme:
- Intelligent Video Slicing Technology: The system automatically cuts long videos into semantically complete 30-second segments, ensuring that each slice contains the complete event unit
- multimodal memory integration: Creating cross-modal associative memories through dual video + audio inputs
- knowledge graph construction: Automatically builds a network of spatio-temporal relationships after recognizing entities, forming a coherent memory structure
Implementation steps: 1) Process the video using the ffmpeg slicing script in the example 2) Run memorization_memory_graphs.py to generate the memory graphs 3) Verify the continuity of the graphs via visualization.py.
This answer comes from the articleM3-Agent: a multimodal intelligence with long-term memory and capable of processing audio and videoThe
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