Image Coding for Machines with Object Region Learning

Compression technology is essential for efficient image transmission and storage. With the rapid advances in deep learning, images are beginning to be used for image recognition as well as for human vision. For this reason, research has been conducted on image coding for image recognition, and this field is called Image Coding for Machines (ICM). We propose an image compression model that learns object regions. This compression model can cleanly decode only the object regions in the image. In the experiments, we verify the effectiveness of our model by comparing it with previous methods.