| Automatic Image Cropping with Aesthetic Map and Gradient Energy Map | |
Yueying Kao1,2; Ran He(赫然)1,2,3 ; Kaiqi Huang1,2,3; Huang, Kaiqi
| |
| 2017-03 | |
| 会议名称 | IEEE International Conference on Acoustics, Speech, and Signal Processing |
| 会议录名称 | IEEE International Conference on Acoustics, Speech, and Signal Processing 2017 |
| 会议日期 | 2017-3-5 |
| 会议地点 | NEW ORLEANS, USA |
| 摘要 |
Image cropping is a fundamental task in image editing to
enhance the aesthetic quality of images. In this paper,
we propose an automatic image cropping technique based
on aesthetic map and gradient energy map. Instead of
utilizing aesthetic rules in previous methods, we learn the
aesthetic map by a deep convolutional neural network with
a large-scale dataset for aesthetic quality assessment. The
aesthetic map can highlight the discriminative image regions
for high (or low) aesthetic quality category. The gradient
energy map presents edge spatial distribution of images
and is developed to compute the simplicity of images.
Then a composition model is learned with the aesthetic
map and gradient energy map to evaluate the quality of
composition for crops. Moreover, an aesthetic preservation
model is developed to compute the aesthetic information
remained in crops to avoid cropping out high aesthetic
regions. Experiments show that our approach significantly
outperforms state-of-the-art cropping methods. |
| 关键词 | Image Cropping Aesthetic Map Gradient Energy Map Convolutional Neural Networks |
| 收录类别 | EI |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/14660 |
| 专题 | 智能感知与计算研究中心 |
| 通讯作者 | Huang, Kaiqi |
| 作者单位 | 1.CRIPAC & NLPR, CASIA 2.University of Chinese Academy of Sciences 3.CAS Center for Excellence in Brain Science and Intelligence Technology |
| 第一作者单位 | 模式识别国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Yueying Kao,Ran He,Kaiqi Huang,et al. Automatic Image Cropping with Aesthetic Map and Gradient Energy Map[C],2017. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| ICASSP2017_KAOYUEYIN（1383KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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