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Research on Image Emotional Semantic Retrieval Mechanism Based on Cognitive Quantification Model

机译:基于认知量化模型的图像情感语义检索机制研究

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In the wake of the development of first-person engagement and crowdsourcing content creation, images are given abundant subjective dimensions of information, especially emotional ones. This research tried to purpose an approach for the image emotional semantic retrieval based on cognitive quantification model by using tags. In this research "Daqi", a typical Chinese emotional experience, is taken as an example to construct an emotional quantification model of it through semantic association analysis and statistical data analysis. The results of verification experiments indicated that it is practical and effective to rank images and recommend tags in image emotional retrieval system based on cognitive model. It is foreseeable that the theory of this research can be applied to other social digital resources, like music or video.
机译:随着第一人称参与和众包内容创建的发展,图像被赋予了丰富的主观信息维度,尤其是情感维度。本研究试图为基于标签的认知量化模型的图像情感语义检索寻求一种方法。本研究以典型的中国人的情感经历“大起”为例,通过语义联想分析和统计数据分析构建了其情感量化模型。验证实验结果表明,在基于认知模型的图像情感检索系统中对图像进行排序和推荐标签是切实可行的。可以预见,这项研究的理论可以应用于其他社会数字资源,例如音乐或视频。

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