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An Interactive Behavior-Based Hierarchical Design Method for Form Hints Read chapter Read first chapter

2017 | OriginalPaper | Chapter

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

Authors : Tian Liang, Liqun Zhang, Min Xie

Published in: Design, User Experience, and Usability: Understanding Users and Contexts

Publisher: Springer International Publishing

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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.

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Metadata
Title
Research on Image Emotional Semantic Retrieval Mechanism Based on Cognitive Quantification Model
Authors
Tian Liang
Liqun Zhang
Min Xie
Copyright Year
2017
Book
Design, User Experience, and Usability: Understanding Users and Contexts

Print ISBN: 978-3-319-58639-7

Electronic ISBN: 978-3-319-58640-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-58640-3_10