Large Scale Image Annotation via Deep Representation Learning and Tag Embedding Learning
文献类型：会议论文
| 作者 | He,Yonghao ; Wang,Jian; Kang,Cuicui; Xiang,Shiming; Pan,Chunhong
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| 出版日期 | 2015-06 |
| 会议日期 | 2015-6-23 |
| 会议地点 | Shanghai, China |
| 关键词 | Large Scale Image Annotation Deep Representation Learning Tag Embedding Learning |
| 英文摘要 | In this paper, we focus on the issue of large scale image annotation, whereas most existing methods are devised for small datasets. A novel model based on deep representation learning and tag embedding learning is proposed. Specifically, the proposed model learns an unified latent space for image visual features and tag embeddings simultaneously. Furthermore, a metric matrix is introduced to estimate the relevance scores between images and tags. Finally, an objective function modeling triplet relationships (irrelevant tag, image, relevant tag) is proposed with maximum margin pursuit. The proposed model is easy to tackle new images and tags via online learning and has a relatively low test computation complexity. Experimental results on NUS-WIDE dataset demonstrate the effectiveness of the proposed model. |
| 会议录 | Proceedings of the 5th ACM on International Conference on Multimedia Retrieval
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| 源URL | [http://ir.ia.ac.cn/handle/173211/11654]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 通讯作者 | He,Yonghao |
| 作者单位 | NLPR, Institute of Automation, Chinese Academy of Sciences |
| 推荐引用方式 GB/T 7714 | He,Yonghao,Wang,Jian,Kang,Cuicui,et al. Large Scale Image Annotation via Deep Representation Learning and Tag Embedding Learning[C]. 见:. Shanghai, China. 2015-6-23. |
入库方式： OAI收割
来源：自动化研究所
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