Learned Image Coding for Machines: A Content-Adaptive Approach

@article{Le2021LearnedIC,
  title={Learned Image Coding for Machines: A Content-Adaptive Approach},
  author={Nam Do-Hoang Le and Honglei Zhang and Francesco Cricri and Ramin Ghaznavi-Youvalari and Hamed Rezazadegan Tavakoli and Esa Rahtu},
  journal={ArXiv},
  year={2021},
  volume={abs/2108.09992}
}
Today, according to the Cisco Annual Internet Report (20182023), the fastest-growing category of Internet traffic is machine-to-machine communication. In particular, machineto-machine communication of images and videos represents a new challenge and opens up new perspectives in the context of data compression. One possible solution approach consists of adapting current human-targeted image and video coding standards to the use case of machine consumption. Another approach consists of developing… Expand
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