SCENE-BASED AUTOMATIC IMAGE ANNOTATION

被引:0
|
作者
Tariq, Amara [1 ]
Foroosh, Hassan [1 ]
机构
[1] Univ Cent Florida, Sch Elect Engn & Comp Sci, Orlando, FL 32816 USA
来源
2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2014年
关键词
Image annotation; Information extraction; Scene understanding; Context-based annotation;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Image search and retrieval systems depend heavily on availability of descriptive textual annotations with images, to match them with textual queries of users. In most cases, such systems have to rely on users to provide tags or keywords with images. Users may add insufficient or noisy tags. A system to automatically generate descriptive tags for images can be extremely helpful for search and retrieval systems. Automatic image annotation has been explored widely in both image and text processing research communities. In this paper, we present a novel approach to tackle this problem by incorporating contextual information provided by scene analysis of image. Image can be represented by features which indicate type of scene shown in the image, instead of representing individual objects or local characteristics of that image. We have used such features to provide context in the process of predicting tags for images.
引用
收藏
页码:3047 / 3051
页数:5
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