Enhancing Image Coding for Machines with Compressed Feature …

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6
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2021
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Work Details
  • DOI 10.1109/ism52913.2021.00044
  • OpenAlex ID W4205607586
  • Type Conference-paper
  • Language EN
  • Published 01 Nov 2021
  • Volume 41
  • Pages 217–225
  • Source IEEE International Symposium on Multimed…
  • FWCI 0.91
  • Countries 1
  • Institutions 2
  • Added 10 Oct 2025
  • Updated 16 Oct 2026
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Enhancing Image Coding for Machines with Compressed Feature Residuals

Conference-paper 2021 EN

As computer vision technologies have tremendously improved over the last decade, videos and images are often consumed by machines instead of humans which are the main target for traditional video codecs. In many use cases, although machines are the main consumers, human involvement is also required, or even mandatory. In this paper, we propose a novel image coding technique targeted for machines,…

6

Citations

37

References

9

Authors

0.91

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9 authors
#AuthorInstitutionsORCID
1 Joni Seppala Tampere University (FI) —
2 Honglei Zhang Nokia (Finland) (FI)
3 Nam Le Tampere University (FI) Nokia (Finland) (FI)
4 Ramin G. Youvalari Nokia (Finland) (FI)
5 Francesco Cricri Nokia (Finland) (FI)
6 Hamed R. Tavakoli Nokia (Finland) (FI)
7 Emre Aksu Nokia (Finland) (FI)
8 Miska M. Hannuksela Nokia (Finland) (FI)
9 Esa Rahtu Tampere University (FI)

Data: OpenAlex