Emotional Semantic Calculation Model and Retrieval of Wedding Image based on Color Features

DOI

10.2991/ameii-15.2015.14How to use a DOI?

Keywords

Wedding Image; Emotional Semantic; Image Classification; Image Retrieval; Color Feature; Fuzzy Function; Crossing Method

Abstract

Content-based retrieval is now commonly used in image retrieval system. One of the disadvantages of the traditional content-based image retrieval technology is the “semantic gap”, which means could not get the semantic meaning from the basic image features. In the context of wedding image, considering the subjectivity of emotion, this paper will present a further research on emotion semantic extracting of wedding image based on color features. Firstly, we will extract the color eigenvector of images using asymmetrical quantized color histogram, and then propose an optimized formula, which helps to classify colors for better visual characteristic. Secondly, five basic emotional classes will be put forward, along with a mapping model that calculates images’ emotional eigenvector by using fuzzy function based on the five classes. Moreover, the use of crossing method to measure similarity degree between images will also be applied. Finally, we will carry out retrieval experiments whose recall ratio and precision ratio indicate the correctness and effectiveness of this system.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Qiaoyan Liu
AU  - Yi Sun
PY  - 2015/04
DA  - 2015/04
TI  - Emotional Semantic Calculation Model and Retrieval of Wedding Image based on Color Features
BT  - Proceedings of the International Conference on Advances in Mechanical Engineering and Industrial Informatics
PB  - Atlantis Press
SP  - 85
EP  - 89
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-15.2015.14
DO  - 10.2991/ameii-15.2015.14
ID  - Liu2015/04
ER  -