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Fine-Grained Color Sketch-Based Image Retrieval

  • Yu XiaEmail author
  • Shuangbu Wang
  • Yanran Li
  • Lihua You
  • Xiaosong Yang
  • Jian Jun Zhang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11542)

Abstract

We propose a novel fine-grained color sketch-based image retrieval (CSBIR) approach. The CSBIR problem is investigated for the first time using deep learning networks, in which deep features are used to represent color sketches and images. A novel ranking method considering both shape matching and color matching is also proposed. In addition, we build a CSBIR dataset with color sketches and images to train and test our method. The results show that our method has better retrieval performance.

Keywords

Color sketch Image retrieval Deep learning Triplet network 

Notes

Acknowledgements

This research is supported by the PDE-GIR project which has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 778035. Yanran Li has received research grands from the South West Creative Technology Network.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Yu Xia
    • 1
    Email author
  • Shuangbu Wang
    • 1
  • Yanran Li
    • 1
  • Lihua You
    • 1
  • Xiaosong Yang
    • 1
  • Jian Jun Zhang
    • 1
  1. 1.National Centre for Computer AnimationBournemouth UniversityBournemouthUK

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