CONSTRUCTING A HIERARCHICAL TREE FOR IMAGE ANNOTATION

被引：0
|
作者：
Hu, Jiwei [1 ]
Lam, Kin-Man [2 ]
Lou, Ping [1 ]
Liu, Quan [1 ]
机构：
[1] Wuhan Univ Technol, Key Lab Fiber Opt Sensing Technol & Informat Proc, Minist Educ, Wuhan, Peoples R China
[2] Hong Kong Polytech Univ, Hong Kong, Hong Kong, Peoples R China
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO (ICME) | 2017年
关键词：
Annotation; hierarchical; tree; label;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Image annotation is always an easy task for humans but a tough task for machines. Inspired by human's thinking mode, there is an assumption that the computer has double systems. Each of the systems can handle the task individually and in parallel. In this paper, we introduce a new hierarchical model for image annotation, based on constructing a novel, hierarchical tree, which consists of exploring the relationships between the labels and the features used, and dividing labels into several hierarchies for efficient and accurate labeling.
引用
收藏
页码：265 / 270
页数：6
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