Feb. 14, 2024, 5:46 a.m. | Kei Iino Shunsuke Akamatsu Hiroshi Watanabe Shohei Enomoto Akira Sakamoto Takeharu Eda

cs.CV updates on arXiv.org arxiv.org

Image coding for machines (ICM) aims to compress images for machine analysis using recognition models rather than human vision. Hence, in ICM, it is important for the encoder to recognize and compress the information necessary for the machine recognition task. There are two main approaches in learned ICM; optimization of the compression model based on task loss, and Region of Interest (ROI) based bit allocation. These approaches provide the encoder with the recognition capability. However, optimization with task loss becomes …

analysis coding cs.ai cs.cv encoder human image images information loss machine machines optimization recognition the information through via vision

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