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Selection of Photos for Album Building Applications

In this work we propose a new algorithm for selection of high-quality photos for album building applications. We describe how to select features for detection well-exposed, sharp and artifact-free photos. We considered two approaches: the first, typical way when all features are used in single AdaBoost classifiers committee and the second way, when decision tree, including 3 committees. Careful analysis of features and decision tree construction allowed better outcomes to be reached.