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Palette-based Image Search with Color Weights

Published: 13 December 2022 Publication History

Abstract

We propose a novel image search system with color palettes. By querying color palettes, users can search for inspiring images, which is helpful for design exploration. Although few such systems can accept palettes as queries, they have several constraints on query palettes (e.g., limited palette size) or search results. Our system accepts palettes with color weights and any sizes as the inputs and returns results with enough diversity that can stimulate users’ design inspiration. To achieve these, we extract color themes from our database with a perceptually-based model and calculate the palette similarity based on a weighted palette distance. Visual comparisons demonstrate that our system has more potential for helping users’ design inspiration than the existing systems.

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References

[1]
Adobe. 2022. https://color.adobe.com/ja/. https://color.adobe.com/ja/create. (Accessed on 08/15/2022).
[2]
Google. 2022. Google Art & Culture Experiment - Art Palette. https://artsexperiments.withgoogle.com/artpalette/. (Accessed on 08/15/2022).
[3]
Suzi Kim and Sunghee Choi. 2021. Dynamic Closest Color Warping to Sort and Compare Palettes. ACM Trans. Graph. 40, 4, Article 95 (jul 2021), 15 pages. https://doi.org/10.1145/3450626.3459776
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TinEye Labs. 2022. Multicolr Search Lab. https://labs.tineye.com/multicolr/. (Accessed on 08/15/2022).
[5]
Sharon Lin and Pat Hanrahan. 2013. Modeling How People Extract Color Themes from Images. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13). New York, NY, USA, 3101–3110. https://doi.org/10.1145/2470654.2466424
[6]
Jianxun Lou, Hanhe Lin, David Marshall, Dietmar Saupe, and Hantao Liu. 2022. TranSalNet: Towards perceptually relevant visual saliency prediction. Neurocomputing 494(2022), 455–467. https://doi.org/10.1016/j.neucom.2022.04.080
[7]
S Skaff, L Marchesotti, Gabriela Csurka, and S Craig. 2011. A Study on Perceptually Coherent Distance Measures for Color Schemes. In In 19th Color and Imaging Conference, CIC.Society for Imaging Science and Technology, 247–252.
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Unsplash. 2022. Unsplash. https://unsplash.com/. (Accessed on 08/15/2022).

Cited By

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  • (2023)Prospects of Palette-based Image Retrieval and Palette-based Design Support配色ベース画像検索と配色デザイン支援の将来展望Journal of Japan Society of Kansei Engineering10.5057/kansei.21.3_11121:3(111-115)Online publication date: 30-Jun-2023

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Published In

cover image ACM Conferences
SA '22: SIGGRAPH Asia 2022 Posters
December 2022
120 pages
ISBN:9781450394628
DOI:10.1145/3550082
  • Editors:
  • Soon Ki Jung,
  • Neil Dodgson
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 December 2022

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Author Tags

  1. Color palette
  2. color theme
  3. image search
  4. palette similarity

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  • Poster
  • Research
  • Refereed limited

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SA '22
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SA '22: SIGGRAPH Asia 2022
December 6 - 9, 2022
Daegu, Republic of Korea

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Overall Acceptance Rate 178 of 869 submissions, 20%

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Cited By

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  • (2023)Prospects of Palette-based Image Retrieval and Palette-based Design Support配色ベース画像検索と配色デザイン支援の将来展望Journal of Japan Society of Kansei Engineering10.5057/kansei.21.3_11121:3(111-115)Online publication date: 30-Jun-2023

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