ROI-Packing: Efficient Region-Based Compression for Machine Vision
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Abstract (arXiv)
This paper introduces ROI-Packing, an efficient image compression method tailored specifically for machine vision. By prioritizing regions of interest (ROI) critical to end-task accuracy and packing them efficiently while discarding less relevant data, ROI-Packing achieves significant compression efficiency without requiring retraining or fine-tuning of end-task models. Comprehensive evaluations across five datasets and two popular tasks-object detection and instance segmentation-demonstrate up to a 44.10% reduction in bitrate without compromising end-task accuracy, along with an 8.88 % improvement in accuracy at the same bitrate compared to the state-of-the-art Versatile Video Coding (VVC) codec standardized by the Moving Picture Experts Group (MPEG).
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 19 references that are in the map. First posted on arXiv 10 Dec 2025.
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7 of 19 references.
References · 7
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Citing papers per year: 2025: 1.
1 paper.
- 2025Emerging Standards for Machine-to-Machine Video Codingcited by 2
- 2025Emerging Standards for Machine-to-Machine Video Coding11 Dec 2025