Updated learning of feature extraction model that extracts moving image feature amount from moving image data and still image feature amount from still image data

Abstract

The learning deviceD is learned to extract moving image feature amount Fm which is feature amount relating to the moving image data Dm when the moving image data Dm is inputted thereto, and is learned to extract still image feature amount Fs which is feature amount relating to the still image data Ds when the still image data Ds is inputted thereto. The first inference unitD performs a first inference regarding the moving image data Dm based on the moving image feature amount Fm. The second inference unitD performs a second inference regarding the still image data Ds based on the still image feature amount Fs. The learning unitD performs learning of the feature extraction unitD based on the results of the first inference and the second inference.