Abstract
In most of the existing online search systems of museums, only the professional knowledge keywords are used to retrieve the artworks. It is a challenge for either professionals or non-professionals. In this paper, we divide the attributes of an artwork into two categories: subjective and objective, and propose a method of attribute annotation for artworks based on the visual perception of the searcher or audiences, which makes the retrieval simpler and more suitable for either professionals or non-professionals.
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Acknowledgments
This work is supported by Natural Science Foundations of China (No. 61473256).
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Cui, C. (2020). An Annotation Method for Artwork Attributes Based on Visual Perception. In: Pan, Z., Cheok, A., Müller, W., Zhang, M. (eds) Transactions on Edutainment XVI. Lecture Notes in Computer Science(), vol 11782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61510-2_5
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DOI: https://doi.org/10.1007/978-3-662-61510-2_5
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