Semantic Sparse Recoding of Visual Content for Image Applications

doi:10.1109/TIP.2014.2375641

CORC > 北京大学 > 信息科学技术学院

	Semantic Sparse Recoding of Visual Content for Image Applications
	Lu, Zhiwu ; Han, Peng ; Wang, Liwei ; Wen, Ji-Rong
刊名	ieee transactions on image processing
	2015
关键词	Visual BOW representation semantic gap sparse coding semantic sparse recoding automatic image annotation social image classification JOINT GROUP SPARSITY ANNOTATION RECOGNITION VOCABULARY
DOI	10.1109/TIP.2014.2375641
英文摘要	This paper presents a new semantic sparse recoding method to generate more descriptive and robust representation of visual content for image applications. Although the visual bag-of-words (BOW) representation has been reported to achieve promising results in different image applications, its visual codebook is completely learnt from low-level visual features using quantization techniques and thus the so-called semantic gap remains unbridgeable. To handle such challenging issue, we utilize the annotations (predicted by algorithms or shared by users) of all the images to improve the original visual BOW representation. This is further formulated as a sparse coding problem so that the noise issue induced by the inaccurate quantization of visual features can also be handled to some extent. By developing an efficient sparse coding algorithm, we successfully generate a new visual BOW representation for image applications. Since such sparse coding has actually incorporated the high-level semantic information into the original visual codebook, we thus consider it as semantic sparse recoding of the visual content. Finally, we apply our semantic sparse recoding method to automatic image annotation and social image classification. The experimental results on several benchmark datasets show the promising performance of our semantic sparse recoding method in these two image applications.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000346595500004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Computer Science, Artificial Intelligence; Engineering, Electrical & Electronic; SCI(E); 4; ARTICLE; zhiwu.lu@gmail.com; hanpeng.ruc@ruc.edu.cn; wanglw@cis.pku.edu.cn; jirong.wen@gmail.com; 1; 176-188; 24
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/206712]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Lu, Zhiwu,Han, Peng,Wang, Liwei,et al. Semantic Sparse Recoding of Visual Content for Image Applications[J]. ieee transactions on image processing,2015.
APA	Lu, Zhiwu,Han, Peng,Wang, Liwei,&Wen, Ji-Rong.(2015).Semantic Sparse Recoding of Visual Content for Image Applications.ieee transactions on image processing.
MLA	Lu, Zhiwu,et al."Semantic Sparse Recoding of Visual Content for Image Applications".ieee transactions on image processing (2015).