Paper Info
Title
Research on Image Emotional Semantic Retrieval Mechanism Based on Cognitive Quantification Model.
Abstract
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.
Year
Venue
Field
2017
HCI
Automatic image annotation,Semantic association,Information retrieval,Crowdsourcing,Computer science,Content creation,Cognitive model,Cognition,Digital resources
DocType
Citations 
PageRank 
Conference
2
0.54
References 
Authors
14
3
Name
Order
Citations
PageRank
Tian Liang130.93
Liqun Zhang263.81
Min Xie3207.20