TOURISTS heading towards Jinggangshan Mountain, the cradle of the Chinese Communist revolution, will find that the Jinggangshan railway station is actually in Taihe County, three hours’ drive from Jinggangshan City. ...TOURISTS heading towards Jinggangshan Mountain, the cradle of the Chinese Communist revolution, will find that the Jinggangshan railway station is actually in Taihe County, three hours’ drive from Jinggangshan City. Lining the road are clusters of modern private houses.展开更多
A way of embedded learning convolution neural network(ELCNN) based on the image content is proposed to evaluate the image aesthetic quality in this paper. Our approach can not only solve the problem of small-scale dat...A way of embedded learning convolution neural network(ELCNN) based on the image content is proposed to evaluate the image aesthetic quality in this paper. Our approach can not only solve the problem of small-scale data but also score the image aesthetic quality. First, we chose Alexnet and VGG_S to compare for confirming which is more suitable for this image aesthetic quality evaluation task. Second, to further boost the image aesthetic quality classification performance, we employ the image content to train aesthetic quality classification models. But the training samples become smaller and only using once fine-tuning cannot make full use of the small-scale data set. Third, to solve the problem in second step, a way of using twice fine-tuning continually based on the aesthetic quality label and content label respective is proposed, the classification probability of the trained CNN models is used to evaluate the image aesthetic quality. The experiments are carried on the small-scale data set of Photo Quality. The experiment results show that the classification accuracy rates of our approach are higher than the existing image aesthetic quality evaluation approaches.展开更多
文摘TOURISTS heading towards Jinggangshan Mountain, the cradle of the Chinese Communist revolution, will find that the Jinggangshan railway station is actually in Taihe County, three hours’ drive from Jinggangshan City. Lining the road are clusters of modern private houses.
基金supported by the National Natural Science Foundation of China(Nos.61271361,61163019,61462093 and 61761046)the Research Foundation of Yunnan Province(Nos.2014FA021 and 2014FB113)the Digital Media Technology Key Laboratory of Universities in Yunnan Province
文摘A way of embedded learning convolution neural network(ELCNN) based on the image content is proposed to evaluate the image aesthetic quality in this paper. Our approach can not only solve the problem of small-scale data but also score the image aesthetic quality. First, we chose Alexnet and VGG_S to compare for confirming which is more suitable for this image aesthetic quality evaluation task. Second, to further boost the image aesthetic quality classification performance, we employ the image content to train aesthetic quality classification models. But the training samples become smaller and only using once fine-tuning cannot make full use of the small-scale data set. Third, to solve the problem in second step, a way of using twice fine-tuning continually based on the aesthetic quality label and content label respective is proposed, the classification probability of the trained CNN models is used to evaluate the image aesthetic quality. The experiments are carried on the small-scale data set of Photo Quality. The experiment results show that the classification accuracy rates of our approach are higher than the existing image aesthetic quality evaluation approaches.
