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

页码：39 / 44

页数：6

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