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
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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.
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页码:192 / 195
页数:4
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