Knowledge Commons of Institute of Automation，CAS
| "Wow! You Are So Beautiful Today!" | |
Liu, Luoqi1; Xing, Junliang2 ; Liu, Si1; Xu, Hui3; Zhou, Xi3; Yan, Shuicheng1; Junliang Xing
| |
| 发表期刊 | ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
 |
| 2014-09-01 | |
| 卷号 | 11期号:1页码:1-22 |
| 文章类型 | Article |
| 摘要 | Beauty e-Experts, a fully automatic system for makeover recommendation and synthesis, is developed in this work. The makeover recommendation and synthesis system simultaneously considers many kinds of makeover items on hairstyle and makeup. Given a user-provided frontal face image with short/bound hair and no/light makeup, the Beauty e-Experts system not only recommends the most suitable hairdo and makeup, but also synthesizes the virtual hairdo and makeup effects. To acquire enough knowledge for beauty modeling, we built the Beauty e-Experts Database, which contains 1,505 female photos with a variety of attributes annotated with different discrete values. We organize these attributes into two different categories, beauty attributes and beauty-related attributes. Beauty attributes refer to those values that are changeable during the makeover process and thus need to be recommended by the system. Beauty-related attributes are those values that cannot be changed during the makeup process but can help the system to perform recommendation. Based on this Beauty e-Experts Dataset, two problems are addressed for the Beauty e-Experts system: what to recommend and how to wear it, which describes a similar process of selecting hairstyle and cosmetics in daily life. For the what-to-recommend problem, we propose a multiple tree-structured supergraph model to explore the complex relationships among high-level beauty attributes, mid-level beauty-related attributes, and low-level image features. Based on this model, the most compatible beauty attributes for a given facial image can be efficiently inferred. For the how-to-wear-it problem, an effective and efficient facial image synthesis module is designed to seamlessly synthesize the recommended makeovers into the user facial image. We have conducted extensive experiments on testing images of various conditions to evaluate and analyze the proposed system. The experimental results well demonstrate the effectiveness and efficiency of the proposed system. |
| 关键词 | Algorithms Experimentation Performance Beauty Recommendation Beauty Synthesis Multiple Tree-structured Super-graphs Model |
| WOS标题词 | Science & Technology ; Technology |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS研究方向 | Computer Science |
| WOS类目 | Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods |
| WOS记录号 | WOS:000343984800012 |
| 引用统计 | |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/8025 |
| 专题 | 多模态人工智能系统全国重点实验室_视频内容安全 |
| 通讯作者 | Junliang Xing |
| 作者单位 | 1.Natl Univ Singapore, Singapore 117548, Singapore 2.Chinese Acad Sci, Inst Automat, Beijing 100864, Peoples R China 3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Beijing 100864, Peoples R China |
| 推荐引用方式 GB/T 7714 | Liu, Luoqi,Xing, Junliang,Liu, Si,et al. "Wow! You Are So Beautiful Today!"[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2014,11(1):1-22. |
| APA | Liu, Luoqi.,Xing, Junliang.,Liu, Si.,Xu, Hui.,Zhou, Xi.,...&Junliang Xing.(2014)."Wow! You Are So Beautiful Today!".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,11(1),1-22. |
| MLA | Liu, Luoqi,et al.""Wow! You Are So Beautiful Today!"".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 11.1(2014):1-22. |
| 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 | ||
| TOMM15WoW.pdf（1431KB） | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | 浏览 下载 | |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论