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arXiv · 2512.09258

ROI-Packing: Efficient Region-Based Compression for Machine Vision

Md Eimran Hossain Eimon·Alena Krause·Ashan Perera·Juan Merlos·Hari Kalva·Velibor Adzic·Borko Furht
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Abstract

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).

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Md Eimran Hossain Eimon, Alena Krause, Ashan Perera, Juan Merlos, Hari Kalva, Velibor Adzic, Borko Furht. 2025-12-10. ROI-Packing: Efficient Region-Based Compression for Machine Vision. https://doi.org/10.1109/mipr67560.2025.00044

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