TOAU compresses human motion videos to 9 bits per frame with pose estimation and VQ-VAE, then aligns the tokens to a vision-language model via a lightweight projector, achieving 1% transmission payload and 20% latency of video codecs while maintaining comparable action understanding accuracy.
AMASS: Archive of motion capture as surface shapes
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Task-Oriented Communication for Human Action Understanding via Edge-Cloud Co-Inference
TOAU compresses human motion videos to 9 bits per frame with pose estimation and VQ-VAE, then aligns the tokens to a vision-language model via a lightweight projector, achieving 1% transmission payload and 20% latency of video codecs while maintaining comparable action understanding accuracy.