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You've Seen Enough: Quality-Constrained Image Coding for Machines
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image compressionmachine visionoptimizationcodec design
2609.25108
Builder Relevance
1h ago80%
Abstract
This paper presents a method for compressing images specifically for machine-vision systems, optimizing the balance between human-observed quality and machine performance.
Reality Card
Core Claim
The proposed method achieves a bitrate reduction of -22.82% over unconstrained optimization while maintaining target visual quality.
Method / Result
-22.82% bitrate reduction with maintained task performance under quality constraints.
Limitations
The paper does not specify the authors or provide extensive details on the experimental setup, which may affect reproducibility.
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