Large Scale Image Annotation via Deep Representation Learning and Tag Embedding Learning
He,Yonghao; Wang,Jian; Kang,Cuicui; Xiang,Shiming; Pan,Chunhong
2015-06
会议名称ACM International Conference on Multimedia Retrieval
会议录名称Proceedings of the 5th ACM on International Conference on Multimedia Retrieval
会议日期2015-6-23
会议地点Shanghai, China
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.

关键词Large Scale Image Annotation Deep Representation Learning Tag Embedding Learning
收录类别EI
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/11654
专题模式识别国家重点实验室_先进数据分析与学习
通讯作者He,Yonghao
作者单位NLPR, Institute of Automation, Chinese Academy of Sciences
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He,Yonghao,Wang,Jian,Kang,Cuicui,et al. Large Scale Image Annotation via Deep Representation Learning and Tag Embedding Learning[C],2015.
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