图书情报知识 ›› 2020, Vol. 0 ›› Issue (6): 101-108.doi: 10.13366/j.dik.2020.06.101

• 情报、信息与共享 • 上一篇    下一篇

基于视觉注意力的图像情感研究框架

陆柳杏,吴丹   

  • 出版日期:2020-11-10 发布日期:2020-12-04

Image Sentiment Research Framework Based on Visual Attention

  • Online:2020-11-10 Published:2020-12-04

摘要: [目的/意义]探索当前图像情感语义发展的趋势,构建相关研究框架,从理论上促进图像情感研究与新措施或方法的融合,可为后续研究提供理论借鉴与指导。[研究设计/方法]利用VOSviewer对图像情感研究进行可视化分析,揭示当前图像情感研究的发展趋势,在此基础上对已有研究进行梳理与总结,构建相应的研究框架。[结论/发现] 将用户视觉注意力与图像情感相结合是当前图像情感研究发展的重要趋势,用户视觉注意力多以捕捉用户眼动的形式来呈现;基于视觉注意力的图像情感研究框架包括数据层、方法层、内容层和应用层。[创新/价值]所构建的研究框架直观展示了当前研究的特点,从理论上促进用户眼动与图像情感结合,为后续研究提供基础与指导。

关键词: 图像情感, 视觉注意力, 视觉情感分析, 研究框架

Abstract: [Purpose/Significance]This paper intends to explore the current development trend of image sentiment research, construct a research framework, theoretically promote the integration of image sentiment research and new methods, and provide theoretical reference and guidance for the follow-up research.[Design/Methodology]The VOSviewer was used to visually analyze the image sentiment research, and reveal the development trend of current related research. On this basis, the existing research was combed and summarized, and the corresponding research framework was developed.[Findings/Conclusion]Combining users' visual attention with image sentiment is an important trend of current research on image sentiment. Users’ visual attention is mostly presented by capturing their eye movement. A theoretical framework of imagesentiment research based on visual attention consists of data layer, method layer, content layer and application layer.[Originality/Value]The framework represents the characteristics of current research intuitively, theoretically promotes the combination of users’ eye movement and image sentiment, and provides foundation and guidance for the follow-up studies.

Keywords: Image sentiment, Visual attention, Visual sentiment analysis, Research framework