By Topic

A Kind of Fuzzy Decision Tree Based on the Image Emotion Classification

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Zhao Juanjuan ; Coll. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China ; Lu Huijun ; Li Yue ; Chen Junjie

As the demands for Classification of the images is getting higher and higher, users want to search the images more fast and precisely, so a kind of fuzzy decision tree algorithm was presented, which was used to set up a images' emotion classification tree based on the image emotion which had a higher precision. This algorithm is based on the uncertainty of Classification using in images' emotion classification. The algorithm set up a path between the images' vision attributes and the images' emotion attributes, finally let the images can be classified by images' emotion attributes.

Published in:

Computing, Measurement, Control and Sensor Network (CMCSN), 2012 International Conference on

Date of Conference:

7-9 July 2012