Search Results - "scalable image coding"

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  1. 1

    Scalable Image Coding for Humans and Machines by Choi, Hyomin, Bajic, Ivan V.

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: United States IEEE 2022
    “…At present, and increasingly so in the future, much of the captured visual content will not be seen by humans. Instead, it will be used for automated machine…”
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    Journal Article
  2. 2

    Semantic and Saliency-Aware Scalable Image Coding Toward Human-Machine Collaboration by Cui, Tengyao, Wang, Yongfang, Wang, Yihan, Fang, Zhijun

    ISSN: 1051-8215, 1558-2205
    Published: New York IEEE 01.11.2025
    “…With the widespread deployment of intelligent vision applications, a substantial amount of visual data is being transmitted to machines for automated analysis…”
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    Journal Article
  3. 3

    SSSIC: Semantics-to-Signal Scalable Image Coding With Learned Structural Representations by Yan, Ning, Gao, Changsheng, Liu, Dong, Li, Houqiang, Li, Li, Wu, Feng

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: United States IEEE 01.01.2021
    Published in IEEE transactions on image processing (01.01.2021)
    “…We address the requirement of image coding for joint human-machine vision, i.e., the decoded image serves both human observation and machine…”
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    Journal Article
  4. 4

    Semantic Prior-Guided Scalable Image Coding by Shi, Wuzhen, Yin, Wennan, Tao, Fei, Wen, Yang

    ISSN: 2379-190X
    Published: IEEE 06.04.2025
    “…We propose a semantic priori-guided scalable image coding method for simultaneously supporting fast machine vision analysis and high quality human visual experience…”
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    Conference Proceeding
  5. 5

    Scalable image coding with enhancement features for human and machine by Wu, Ying, An, Ping, Yang, Chao, Huang, XinPeng

    ISSN: 0942-4962, 1432-1882
    Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.04.2024
    Published in Multimedia systems (01.04.2024)
    “…The past decade has seen significant advancements in computer vision technologies, resulting in an increasing consumption of images and videos by both human…”
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    Journal Article
  6. 6

    Layered and scalable image coding with semantic features for human and machine by Wei, Jiao, An, Ping, Wang, Shipei, Huang, Kunqiang, Yang, Chao, Huang, Xinpeng

    ISSN: 0952-1976
    Published: Elsevier Ltd 01.09.2025
    “…In recent years, there has been an emergence of numerous edge devices capturing visual data primarily for machine vision analysis, with occasional viewing by…”
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    Journal Article
  7. 7

    Scalable Image Coding Based on Epitomes by Alain, Martin, Guillemot, Christine, Thoreau, Dominique, Guillotel, Philippe

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: United States IEEE 01.08.2017
    Published in IEEE transactions on image processing (01.08.2017)
    “…In this paper, we propose a novel scheme for scalable image coding based on the concept of epitome…”
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    Journal Article
  8. 8

    STSIC: Swin-transformer-based scalable image coding for human and machine by Wang, Shipei, An, Ping, Yang, Chao, Huang, Kunqiang, Huang, Xinpeng

    ISSN: 1047-3203, 1095-9076
    Published: Elsevier Inc 01.02.2024
    “…•The scalable image coding framework is employed in STSIC.•Swin-Transformer is used as the backbone of STSIC…”
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    Journal Article
  9. 9

    Semantically Scalable Image Coding With Compression of Feature Maps by Yan, Ning, Liu, Dong, Li, Houqiang, Wu, Feng

    ISSN: 2381-8549
    Published: IEEE 01.10.2020
    “…In this paper, we consider a novel image coding paradigm, termed semantically scalable coding. In the new paradigm, coded bitstream serves for multiple…”
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    Conference Proceeding
  10. 10

    Towards Semantically Scalable Image Coding using Semantic Map by Yan, Ning, Liu, Dong, Li, Houqiang, Wu, Feng, Xiong, Zhiwei, Zha, Zheng-Jun

    ISBN: 9781728133201, 1728133203
    ISSN: 2158-1525
    Published: IEEE 01.10.2020
    “… We implement such a semantically scalable image coding scheme based on semantic map. In the proposed scheme, the original image is firstly semantically segmented and the semantic map is compressed as the base layer…”
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    Conference Proceeding
  11. 11

    Resolution Scalable Image Coding With Reversible Cellular Automata by Cappellari, L, Milani, S, Cruz-Reyes, C, Calvagno, G

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Published: United States IEEE 01.05.2011
    Published in IEEE transactions on image processing (01.05.2011)
    “…In a resolution scalable image coding algorithm, a multiresolution representation of the data is often obtained using a linear filter bank…”
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    Journal Article
  12. 12

    Towards Coding For Human And Machine Vision: A Scalable Image Coding Approach by Hu, Yueyu, Yang, Shuai, Yang, Wenhan, Duan, Ling-Yu, Liu, Jiaying

    ISSN: 1945-788X
    Published: IEEE 01.07.2020
    “…The past decades have witnessed the rapid development of image and video coding techniques in the era of big data. However, the signal fidelity-driven coding…”
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    Conference Proceeding
  13. 13

    Scalable Image Coding for Humans and Machines Using Feature Fusion Network by Shindo, Takahiro, Watanabe, Taiju, Tatsumi, Yui, Watanabe, Hiroshi

    ISSN: 2473-3628
    Published: IEEE 02.10.2024
    “… We propose a learning-based scalable image coding method for humans and machines that is compatible with numerous image recognition models…”
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    Conference Proceeding
  14. 14

    Scalable image coding using reversible integer wavelet transforms by Bilgin, A., Sementilli, J., Fang Sheng, Marcellin, M.W.

    ISSN: 1057-7149, 1941-0042
    Published: New York, NY IEEE 01.11.2000
    Published in IEEE transactions on image processing (01.11.2000)
    “…Reversible integer wavelet transforms allow both lossless and lossy decoding using a single bitstream. We present a new fully scalable image coder and…”
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    Journal Article
  15. 15

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

    Published: IEEE 24.11.2023
    “…With the rapid advancements in image data acquisition technology, there has been a significant improvement in the resolution of captured images. This progress…”
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    Conference Proceeding
  16. 16

    text +\mathrm: Plug and Play Scalable Image Coding for Humans and Machines by Harell, Alon, Foroutan, Yalda, Bajic, Ivan V.

    Published: IEEE 01.07.2023
    “…Compression for machines is an emerging field, where inputs are encoded while optimizing the performance of down-stream automated analysis. In scalable coding…”
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    Conference Proceeding
  17. 17

    Scalable Image Coding for Humans and Machines by Choi, Hyomin, Bajic, Ivan V

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 13.01.2022
    Published in arXiv.org (13.01.2022)
    “…At present, and increasingly so in the future, much of the captured visual content will not be seen by humans. Instead, it will be used for automated machine…”
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    Paper
  18. 18

    Learned Disentangled Latent Representations for Scalable Image Coding for Humans and Machines by Ozyilkan, Ezgi, Ulhaq, Mateen, Choi, Hyomin, Racape, Fabien

    ISSN: 2375-0359
    Published: IEEE 01.03.2023
    Published in DCC (Los Alamitos, Calif.) (01.03.2023)
    “…As an increasing amount of image and video content will be analyzed by machines, there is demand for a new codec paradigm that is capable of compressing visual…”
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    Conference Proceeding
  19. 19

    Scalable Image Coding for Human and Machines: Based on partial channel context model by Shi, Yunhui, Ren, Jiawei, Wang, Lilong, Wang, Jin, Liu, Jiale

    ISSN: 1948-9447
    Published: IEEE 25.05.2024
    Published in Chinese Control and Decision Conference (25.05.2024)
    “…In recent years, there has been a substantial increase in the amount of visual data generated by edge devices. Machines typically process this data to…”
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    Conference Proceeding
  20. 20

    Frequency-Aware Hierarchical Image Compression for Humans and Machines by Luo, Yue, Zhang, Zixiang, Kuang, Jinhao, Yu, Li

    ISSN: 2642-9357
    Published: IEEE 08.12.2024
    “…To achieve efficient compression for both human vision and machine perception, scalable coding methods have been proposed in recent years. However, existing…”
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    Conference Proceeding