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ToolsXia, Y., Wang, S., Li, Y., You, L., Yang, X. and Zhang, J. J., 2019. Fine-Grained Color Sketch-Based Image Retrieval. In: CGI 2019: Advances in Computer Graphics, 17-20 June 2019, Calgary, AB, Canada, 424 - 430.
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DOI: 10.1007/978-3-030-22514-8_40
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.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Color sketch; Image retrieval; Deep learning; Triplet network |
| Group: | Faculty of Media & Communication |
| ID Code: | 32502 |
| Deposited By: | Symplectic RT2 |
| Deposited On: | 09 Jul 2019 07:43 |
| Last Modified: | 14 Mar 2022 14:16 |
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