FrameBoost: Advanced Video Analytics With Inference Trigger Frame Selection via Tracking Error Estimation
For real-time video analytics, the inference trigger frame selection problem is crucial. While continuous video streams offer rich data, processing every frame is computationally intensive. Thus, modern systems strategically analyze the frames to choose frames for inference, i.e., inference trigger...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10950362/ |
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