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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| Published in: | Proceedings - International Conference on Image Processing pp. 3411 - 3415 |
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| Main Authors: | , , , , , , , |
| Format: | Conference Proceeding |
| Language: | English |
| Published: |
IEEE
16.10.2022
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| Subjects: | |
| ISSN: | 2381-8549 |
| Online Access: | Get full text |
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