Robust Sparse Coding for Mobile Image Labeling on the Cloud.
Tao, Dapeng; Cheng, Jun; Gao, Xinbo; Li, Xuelong; Deng, Cheng
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
2017
文献子类期刊论文
英文摘要With the rapid development of the mobile service and online social networking service, a large number of mobile images are generated and shared on the social networks every day. The visual content of these images contains rich knowledge for many uses, such as social categorization and recommendation. Mobile image labeling has, therefore, been proposed to understand the visual content and received intensive attention in recent years. In this paper, we present a novel mobile image labeling scheme on the cloud, in which mobile images are first and efficiently transmitted to the cloud by Hamming compressed sensing, such that the heavy computation for image understanding is transferred to the cloud for quick response to the queries of the users. On the cloud, we design a sparse correntropy framework for robustly learning the semantic content of mobile images, based on which the relevant tags are assigned to the query images. The proposed framework (called maximum correntropy-based mobile image labeling) is very insensitive to the noise and the outliers, and is optimized by a half-quadratic optimization technique. We theoretically show that our image labeling approach is more robust than the squared loss, absolute loss, Cauchy loss, and many other robust loss function-based sparse coding methods. To further understand the proposed algorithm, we also derive its robustness and generalization error bounds. Finally, we conduct experiments on the PASCAL VOC' 07 data set and empirically demonstrate the effectiveness of the proposed robust sparse coding method for mobile image labeling.
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语种英语
内容类型期刊论文
源URL[http://ir.siat.ac.cn:8080/handle/172644/11635]  
专题深圳先进技术研究院_集成所
作者单位IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
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GB/T 7714
Tao, Dapeng,Cheng, Jun,Gao, Xinbo,et al. Robust Sparse Coding for Mobile Image Labeling on the Cloud.[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2017.
APA Tao, Dapeng,Cheng, Jun,Gao, Xinbo,Li, Xuelong,&Deng, Cheng.(2017).Robust Sparse Coding for Mobile Image Labeling on the Cloud..IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY.
MLA Tao, Dapeng,et al."Robust Sparse Coding for Mobile Image Labeling on the Cloud.".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY (2017).
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