Modelling of chromatic contrast for retrieval of wallpaper images
Article
Gao, X., Wang, Y., Qian, Y. and Gao, A. 2015. Modelling of chromatic contrast for retrieval of wallpaper images. Color Research and Application. 40 (4), pp. 361-373. https://doi.org/10.1002/col.21897
Type | Article |
---|---|
Title | Modelling of chromatic contrast for retrieval of wallpaper images |
Authors | Gao, X., Wang, Y., Qian, Y. and Gao, A. |
Abstract | Colour remains one of the key factors in presenting an object and consequently has been widely applied in retrieval of images based on their visual contents. However, a colour appearance changes with the change of viewing surroundings, the phenomenon that has not been paid attention yet while performing colour-based image retrieval. To comprehend this effect, in this paper, a chromatic contrast model, CAMcc, is developed for the application of retrieval of colour intensive images, cementing the gap that most of existing colour models lack to fill by taking simultaneous colour contrast into account. Subsequently, the model is applied to the retrieval task on a collection of museum wallpapers of colour-rich images. In comparison with current popular colour models including CIECAM02, HSI, and RGB, with respect to both foreground and background colours, CAMcc appears to outperform the others with retrieved results being closer to query images. In addition, CAMcc focuses more on foreground colours, especially by maintaining the balance between both foreground and background colours, while the rest of existing models take on dominant colours that are perceived the most, usually background tones. Significantly, the contribution of the investigation lies in not only the improvement of the accuracy of colour-based image retrieval, but also the development of colour contrast model that warrants an important place in colour and computer vision theory, leading to deciphering the insight of this age-old topic of chromatic contrast in colour science. |
Keywords | colour appearance model; simultaneous chromatic contrast ; colour-based image retrieval ; computational colour ; chromatic adaptation |
Research Group | Artificial Intelligence group |
Publisher | Wiley |
Journal | Color Research and Application |
ISSN | 0361-2317 |
Electronic | 1520-6378 |
Publication dates | |
Online | 30 May 2014 |
07 Jun 2015 | |
Publication process dates | |
Deposited | 16 May 2014 |
Accepted | 06 May 2014 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | This is the peer reviewed version of the following article: Gao, X. W., Wang, Y., Qian, Y. and Gao, A. (2015), Modelling of chromatic contrast for retrieval of wallpaper images. Color Res. Appl., 40: 361–373. doi:10.1002/col.21897, which has been published in final form at https://doi.org/10.1002/col.21897. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving. |
Digital Object Identifier (DOI) | https://doi.org/10.1002/col.21897 |
Scopus EID | 2-s2.0-84930767753 |
Web of Science identifier | WOS:000355957900006 |
Language | English |
https://repository.mdx.ac.uk/item/84v5y
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