From Pixels to Privacy: Temporally Consistent Video Anonymization via Token Pruning for Privacy Preserving Action Recognition
From Pixels to Privacy: Temporally Consistent Video Anonymization via Token Pruning for Privacy Preserving Action Recognition explores A novel framework for video anonymization that prunes privacy-sensitive information while preserving action recognition accuracy, enabling safer video analytics.. Commercial viability score: 7/10 in Video Privacy.
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