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.
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CITATION STYLE
Xia, Y., Wang, S., Li, Y., You, L., Yang, X., & Zhang, J. J. (2019). Fine-Grained Color Sketch-Based Image Retrieval. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11542 LNCS, pp. 424–430). Springer Verlag. https://doi.org/10.1007/978-3-030-22514-8_40
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