In this paper, we propose new photo categorization which is suitable
for a home photo album. To enhance the categorization, both local and global
concepts of the photos are modeled and their combined concept learning
method for the photo categorization is proposed. The local and global concepts
are trained by individual support vector machines. Region templates for the local
concepts of generic home photos are proposed. Further, local concepts are
merged with confidence to lead to the global concept to achieve reliable categorization.
Experiment results show that the proposed method is useful to detect
multi-category concepts for the home photo album.