Predicting Image Memorability by Multi-view Adaptive Regression
文献类型：会议论文
| 作者 | Houwen Peng ; Kai Li; Bing Li; Haibin Ling; Weihua Xiong; Weiming Hu
|
| 出版日期 | 2015 |
| 会议日期 | October 26 - 30, 2015 |
| 会议地点 | Brisbane, Australia |
| 关键词 | Multi-view Adaptive Regression |
| 英文摘要 | The images we encounter throughout our lives make different impressions on us: Some are remembered at first glance, while others are forgotten. This phenomenon is caused by the intrinsic memorability of images revealed by recent studies [5,6]. In this paper, we address the issue of automatically estimating the memorability of images by proposing a novel multi-view adaptive regression (MAR) model. The MAR model provides an effective mapping of visual features to memorability scores by taking advantage of robust feature selection and multiple feature integration. It consists of three major components: an adaptive loss function, an adaptive regularization and a multi-view modeling strategy. Moreover, we design an alternating direction method (ADM) optimization algorithm to solve the proposed objective function. Experimental results on the MIT benchmark dataset show the superiority of the proposed model compared with existing image memorability prediction methods. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13479]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_视频内容安全团队 |
| 推荐引用方式 GB/T 7714 | Houwen Peng,Kai Li,Bing Li,et al. Predicting Image Memorability by Multi-view Adaptive Regression[C]. 见:. Brisbane, Australia. October 26 - 30, 2015. |
入库方式： OAI收割
来源：自动化研究所
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