Automatic age recommendation system for children's video content

Abstract

This paper presents a novel automatic method to determine the appropriate age of video content in a video database geared to children. When combined with classical features the system improves accuracy rate for more than 0.13 for the same type of classifier in determining the age category of content for children between the ages of three to six years old… (More)
DOI: 10.1109/ISCAS.2014.6865244

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