Deep Aesthetic Quality Assessment With Semantic Information
文献类型：期刊论文
| 作者 | Yueying Kao1,2,3 ; Ran He1,3,4; Kaiqi Huang1,2,3,4
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| 刊名 | IEEE TRANSACTIONS ON IMAGE PROCESSING
 |
| 出版日期 | 2017-03-01 |
| 卷号 | 26期号:3页码:1482-1495 |
| 关键词 | Visual Aesthetic Quality Assessment Semantic Information Multi-task Learning |
| DOI | 10.1109/TIP.2017.2651399 |
| 文献子类 | Article |
| 英文摘要 | Human beings often assess the aesthetic quality of an image coupled with the identification of the image's semantic content. This paper addresses the correlation issue between automatic aesthetic quality assessment and semantic recognition. We cast the assessment problem as the main task among a multi-task deep model, and argue that semantic recognition task offers the key to address this problem. Based on convolutional neural networks, we employ a single and simple multi-task framework to efficiently utilize the supervision of aesthetic and semantic labels. A correlation item between these two tasks is further introduced to the framework by incorporating the inter-task relationship learning. This item not only provides some useful insight about the correlation but also improves assessment accuracy of the aesthetic task. In particular, an effective strategy is developed to keep a balance between the two tasks, which facilitates to optimize the parameters of the framework. Extensive experiments on the challenging Aesthetic Visual Analysis dataset and Photo. net dataset validate the importance of semantic recognition in aesthetic quality assessment, and demonstrate that multi-task deep models can discover an effective aesthetic representation to achieve the state-of-the-art results. |
| WOS关键词 | HUMAN VISUAL-SYSTEM ; PHOTO ; PREDICTION ; VIDEO ; MODEL |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000395837700033 |
| 资助机构 | National Natural Science Foundation of China(61322209 ; International Partnership Program of Chinese Academy of Science(173211KYSB20160008) ; 61673375 ; 61403387) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/14377]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 作者单位 | 1.Chinese Acad Sci, Ctr Res Intelligent Percept & Comp, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100190, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Yueying Kao,Ran He,Kaiqi Huang. Deep Aesthetic Quality Assessment With Semantic Information[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2017,26(3):1482-1495. |
| APA | Yueying Kao,Ran He,&Kaiqi Huang.(2017).Deep Aesthetic Quality Assessment With Semantic Information.IEEE TRANSACTIONS ON IMAGE PROCESSING,26(3),1482-1495. |
| MLA | Yueying Kao,et al."Deep Aesthetic Quality Assessment With Semantic Information".IEEE TRANSACTIONS ON IMAGE PROCESSING 26.3(2017):1482-1495. |
入库方式： OAI收割
来源：自动化研究所
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