Automatic Rating and Selection of Digital Photographs

被引：0

作者：

Kormann, Daniel ^{[1
]}

Dunker, Peter ^{[1
]}

Paduschek, Ronny ^{[1
]}

机构：

[1] Fraunhofer Inst Digital Media Technol, D-98693 Ilmenau, Germany

来源：

SEMANTIC MULTIMEDIA, PROCEEDINGS | 2009年 / 5887卷

关键词：

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper presents methods for automatically rating and selecting digital photographs. The importance of each photograph is estimated by analyzing its content as well as its time-metadata. The presence of people is estimated by combining face and skin detection. Finally, the appeal of each photograph is calculated using a trained SVM classifier. The results of a conducted user study show that the automatically obtained rating coincides well with the perception of the test persons.

引用

页码：192 / 195

页数：4

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