IMAGE CLASSIFIERS FOR SCENE ANALYSIS

被引：0
|
作者：
Le Saux, Bertrand [1 ]
Amato, Giuseppe [1 ]
机构：
[1] CNR Pisa, ISTI, Via G Mortizzi 1, I-56124 Pisa, Italy
来源：
COMPUTER VISION AND GRAPHICS (ICCVG 2004) | 2006年 / 32卷
关键词：
scene analysis; feature selection; image classification; kernel methods;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The semantic interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. We intend to design classifiers able to annotate images with keywords. Firstly, we propose an image representation appropriate for scene description: images are segmented into regions and indexed according to the presence of given region types. Secondly, we propound a classification scheme designed to separate images in the descriptor space. This is achieved by combining feature selection and kernel-method-based classification.
引用
收藏
页码：39 / 44
页数：6
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