Explicitly compressing pixel or feature residuals between machine-oriented and human-oriented image codec layers improves scalable coding efficiency, with up to 29.57% BD-rate savings over ICMH-FF.
Semantic Structured Image Coding Framework for Multiple Intelligent Applications,
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Explicit Residual-Based Scalable Image Coding for Humans and Machines
Explicitly compressing pixel or feature residuals between machine-oriented and human-oriented image codec layers improves scalable coding efficiency, with up to 29.57% BD-rate savings over ICMH-FF.