Bridging the Gap Between Image Coding for Machines and Humans

Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy. In many use cases, such as surveillance, it is also important that the visual quality is not drastically deteriorated by the compression process....

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Bibliographic Details
Published in:Proceedings - International Conference on Image Processing pp. 3411 - 3415
Main Authors: Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G., Rezazadegan Tavakoli, Hamed, Aksu, Emre, Hannuksela, Miska M., Rahtu, Esa
Format: Conference Proceeding
Language:English
Published: IEEE 16.10.2022
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ISSN:2381-8549
Online Access:Get full text
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