Fine-Grained Color Sketch-Based Image Retrieval
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Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 11542 LNCS
© Springer Nature Switzerland AG 2019. 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.
This data was imported from Web of Science (Lite):
Journal: ADVANCES IN COMPUTER GRAPHICS, CGI 2019