Image Caption Generation of Arts: Review and Outlook
Authors: Baoying Zheng, Fang Liu
Abstract: Image captioning extract image features and automatically describe the content of an image in words. Recently image captioning has broken through the application of natural images and is widely used in the arts. It can be applied to art retrieval and management, and it can also automatically provide artistic introductions for the visually impaired. This paper reviews related research in image captioning of artworks, and divides image captioning into three types, including template-based approach, retrieval-based approach, and generative approach. Furthermore, mainstream generative approaches include Encoder-decoder, Transformer, New generation framework, etc. Finally, this paper summarizes the evaluation metrics for image captioning, and looks forward to the application and future development of art image captioning.
Keywords: Image Captioning, Artworks Analysis, Deep neural network
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