主催: 一般社団法人映像情報メディア学会
会議名: 映像情報メディア学会2016年年次大会
開催地: 三重大学
開催日: 2016/08/31 - 2016/09/02
p. 22B-3-
In this paper we applied the Caffe convolutional neural networ k (CNN) framework to portrait aesthetics quality estimation. We d esign a set of semantic complexity features extracted from th e intermediate layer features of the CNN architecture. Besides , CNN features trained for different task are compared in aesthe t ic s estimation, and the contribution from content is identifie d .