Search Results - Image coding for machines

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  1. 1

    Blur CLIP Context Model-Based Image Coding for Machines Framework With Down and Up Sample Pairs for Multitasks by Zhang, Zhongpeng, Liu, Ying

    ISSN: 2169-3536, 2169-3536
    Published: IEEE 2025
    Published in IEEE access (2025)
    “…Image Coding for Machines (ICM) aims to develop systems and frameworks for image compression and transmission tailored for computer vision tasks such as object detection and instance segmentation…”
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    Journal Article
  2. 2

    Image Coding For Machines: an End-To-End Learned Approach by Le, Nam, Zhang, Honglei, Cricri, Francesco, Ghaznavi-Youvalari, Ramin, Rahtu, Esa

    ISSN: 2379-190X
    Published: IEEE 06.06.2021
    “…: how much better would an image codec targeting machine-consumption perform against state-of-the-art codecs targeting human-consumption…”
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    Conference Proceeding
  3. 3

    Saliency Map-Guided End-to-End Image Coding for Machines by Peng, Bo, Lin, Tianxiang, Jin, Dengchao, Pan, Zhaoqing, Lei, Jianjun

    ISSN: 1070-9908, 1558-2361
    Published: New York IEEE 2024
    Published in IEEE signal processing letters (2024)
    “…Existing end-to-end image coding for machines (ICM) methods generally use joint training strategies to promote the compression efficiency for machine vision without considering the influence of different regions in the image…”
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    Journal Article
  4. 4

    Remote Sensing Image Coding for Machines on Semantic Segmentation via Contrastive Learning by Zhang, Junxi, Chen, Zhenzhong, Liu, Shan

    ISSN: 0196-2892, 1558-0644
    Published: New York IEEE 2024
    “… In this article, we propose an image coding for machines (ICMs) paradigm based on contrastive learning in a fully supervised manner to boost semantic segmentation of compressed RSIs…”
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    Journal Article
  5. 5

    Bridging the Gap Between Image Coding for Machines and Humans by Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G., Rezazadegan Tavakoli, Hamed, Aksu, Emre, Hannuksela, Miska M., Rahtu, Esa

    ISSN: 2381-8549
    Published: IEEE 16.10.2022
    “…Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy…”
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    Conference Proceeding
  6. 6

    Saliency-Driven Hierarchical Learned Image Coding for Machines by Fischer, Kristian, Brand, Fabian, Blum, Christian, Kaup, Andre

    ISSN: 2379-190X
    Published: IEEE 04.06.2023
    “…We propose to employ a saliency-driven hierarchical neural image compression network for a machine-to-machine communication scenario following the compress-then-analyze paradigm…”
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    Conference Proceeding
  7. 7

    Side information-driven image coding for hybrid machine–human vision by Zhang, Zhongpeng, Liu, Ying, Peng, Wen-Hsiao

    ISSN: 1687-5281, 1687-5176, 1687-5281
    Published: Cham Springer International Publishing 28.01.2025
    “…With the development of machine learning, advanced photography and image transmission systems, images are being processed more and more by machines, so image coding for machines (ICM) came…”
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    Journal Article
  8. 8

    Redundancy Removal Module for Reducing the Bitrates of Image Coding for Machines by Zhang, Zhongpeng, Liu, Ying

    ISSN: 2158-1525
    Published: IEEE 19.05.2024
    “… In order to solve these two problems at the same time, image coding for machines (ICM) came into being. At present, most ICM technologies combine traditional codecs…”
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    Conference Proceeding
  9. 9

    Learning-based Image Coding for Machine Intelligence with Variable-Rate by Liu, Ao, Yu, Hualong, Liu, Jiawang, He, Qiqi, Yu, Lu

    ISSN: 2158-1525
    Published: IEEE 25.05.2025
    “…Image Coding for Machines (ICM) has yielded significant developments recently. Variable-rate support is necessary for image coding, while performance gap still…”
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    Conference Proceeding
  10. 10

    GelSight dual-modal tactile data compression for machines by Zeng, Yaofeng, Lan, Chengdong, Xu, Yifeng

    ISSN: 1051-2004
    Published: Elsevier Inc 01.01.2026
    Published in Digital signal processing (01.01.2026)
    “…Existing image coding for machines methods usually optimize jointly with downstream tasks and transmit task-relevant information in a lossy manner, but they cannot meet the differentiated needs…”
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    Journal Article
  11. 11

    Rate-Distortion in Image Coding for Machines by Harell, Alon, De Andrade, Anderson, Bajic, Ivan V.

    ISSN: 2472-7822
    Published: IEEE 07.12.2022
    Published in Picture Coding Symposium (07.12.2022)
    “… Thus, it is important to create specific image coding methods for joint use by humans and machines…”
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    Conference Proceeding
  12. 12

    Image Coding for Machines with Object Region Learning by Shindo, Takahiro, Watanabe, Taiju, Yamada, Kein, Watanabe, Hiroshi

    ISSN: 2331-9860
    Published: IEEE 06.01.2024
    “… For this reason, research has been conducted on image coding for image recognition, and this field is called Image Coding for Machines (ICM…”
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    Conference Proceeding
  13. 13

    NN-VVC: Versatile Video Coding boosted by self-supervisedly learned image coding for machines by Ahonen, Jukka I., Le, Nam, Zhang, Honglei, Hallapuro, Antti, Cricri, Francesco, Tavakoli, Hamed Rezazadegan, Hannuksela, Miska M., Rahtu, Esa

    Published: IEEE 11.12.2023
    “… Recent research on image and video coding for machine analysis has progressed mainly in two almost orthogonal directions…”
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    Conference Proceeding
  14. 14

    Side Information Driven Image Coding for Machines by Zhang, Zhongpeng, Liu, Ying

    ISSN: 2472-7822
    Published: IEEE 07.12.2022
    Published in Picture Coding Symposium (07.12.2022)
    “… Image coding for machines (ICM) is to compress image data such that they can be more efficiently sent to the receiver side for machines to conduct visual analysis…”
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    Conference Proceeding
  15. 15

    Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines by Fernandez-Menduina, Samuel, Pavez, Eduardo, Ortega, Antonio

    ISSN: 2473-3628
    Published: IEEE 02.10.2024
    “…With the increasing number of images and videos consumed by computer vision algorithms, compression methods are evolving to consider both perceptual quality and performance in downstream tasks…”
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    Conference Proceeding
  16. 16

    Image Coding for Object Recognition Tasks Based on Contour Feature Learning With Flexible Object Selection by Shindo, Takahiro, Watanabe, Taiju, Tatsumi, Yui, Watanabe, Hiroshi

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2025
    Published in IEEE access (2025)
    “… This emerging field, known as Image Coding for Machines (ICM), has gained significant attention in recent years…”
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    Journal Article
  17. 17

    Region of Interest Enabled Learned Image Coding for Machines by Ahonen, Jukka I., Le, Nam, Zhang, Honglei, Cricri, Francesco, Rahtu, Esa

    ISSN: 2473-3628
    Published: IEEE 27.09.2023
    “…Image and video coding for machines has been recently gaining more and more interest from both the industry and the research community…”
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    Conference Proceeding
  18. 18

    Bridging the gap between image coding for machines and humans by Le, Nam, Zhang, Honglei, Cricri, Francesco, Youvalari, Ramin G, Tavakoli, Hamed Rezazadegan, Aksu, Emre, Hannuksela, Miska M, Rahtu, Esa

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 19.01.2024
    Published in arXiv.org (19.01.2024)
    “…Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy…”
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    Paper
  19. 19

    End to End Scalable Image Coding for Machines by Wu, Zijun, Wang, Hanming, Wang, Huifen, Zhang, Yuan

    Published: IEEE 24.11.2023
    “… This progress enables clear display of intricate details. However, to support downstream tasks such as object detection and semantic segmentation, image encoding in machine…”
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    Conference Proceeding
  20. 20

    Delta-ICM: Entropy Modeling with Delta Function for Learned Image Compression by Shindo, Takahiro, Watanabe, Taiju, Tatsumi, Yui, Watanabe, Hiroshi

    ISSN: 2158-4001
    Published: IEEE 11.01.2025
    “…Image Coding for Machines (ICM) is becoming more important as research in computer vision progresses…”
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    Conference Proceeding