CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval
Liu, Kai1,3; Wei, Shikui1,3; Zhao, Yao1,3; Zhu, Zhenfeng1,3; Wei, Yunchao1,3; Xu, Changsheng2
Source PublicationMULTIMEDIA TOOLS AND APPLICATIONS
2015
Volume74Issue:2Pages:561-576
SubtypeArticle
AbstractCross-media retrieval aims to automatically perform the content-based search procedure among various media types (e.g., image, video and text), in which media representation plays an important role for providing the heterogeneous similarity measure. In this work, a novel semantic representation of cross-media, called accumulated reconstruction error vector (AREV), is proposed, which includes category-specific dictionary learning, media sample reconstruction, and accumulative reconstruction error concatenation. Instead of directly learning the correlation relationship among heterogeneous items in the same semantic groups, the AREV projects individually their original feature descriptions into a shared semantic space, in which each component is semantic consistent for various media types due to the consistency in category information. Experiments on the commonly used datasets, i.e. Wikipedia dataset and NUS-Wide dataset, show the good performance in terms of effectiveness and efficiency.
KeywordCross-media Accumulated Reconstruction Error Vector Retrieval Consistency Dictionary Learning
WOS HeadingsScience & Technology ; Technology
WOS KeywordIMAGE ; AUDIO
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000348445300014
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8068
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
2.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
3.Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China
Recommended Citation
GB/T 7714
Liu, Kai,Wei, Shikui,Zhao, Yao,et al. Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval[J]. MULTIMEDIA TOOLS AND APPLICATIONS,2015,74(2):561-576.
APA Liu, Kai,Wei, Shikui,Zhao, Yao,Zhu, Zhenfeng,Wei, Yunchao,&Xu, Changsheng.(2015).Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval.MULTIMEDIA TOOLS AND APPLICATIONS,74(2),561-576.
MLA Liu, Kai,et al."Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval".MULTIMEDIA TOOLS AND APPLICATIONS 74.2(2015):561-576.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu, Kai]'s Articles
[Wei, Shikui]'s Articles
[Zhao, Yao]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu, Kai]'s Articles
[Wei, Shikui]'s Articles
[Zhao, Yao]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu, Kai]'s Articles
[Wei, Shikui]'s Articles
[Zhao, Yao]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.