CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Image classification by search with explicitly and implicitly semantic representations
Zhang, Chunjie1,2; Zhu, Guibo3; Huang, Qingming1,2,4; Tian, Qi5
Source PublicationINFORMATION SCIENCES
2017-01-10
Volume376Issue:0Pages:125-135
SubtypeArticle
AbstractImage classification refers to the task of automatically classifying the categories of images based on the contents. This task is typically solved using visual features with the histogram based classification scheme. Although effective, this strategy has two drawbacks. On one hand, histogram based representation often disregards the object layout which is very important for classification. On the other hand, visual features are unable to fully separate different images due to the semantic gap. To solve these two problems, in this paper, we propose a novel image classification method by explicitly and implicitly representing the images with searching strategy. First, to make use of object layouts, we randomly select a number of regions and then use these regions for image representations. Second, we generate the explicitly semantic representations using a number of pre-learned semantic models. Third, we measure the visual similarities with the Internet images and use the text information for implicitly semantic representations. Since Internet images are contaminated with noise, the resulting representations only implicitly reflect the contents of images. Finally, both the explicitly and implicitly semantic representations are jointly modeled for image classifications by training bi-linear classifiers. We evaluate the effectiveness of the proposed image classification by search with explicitly and implicitly semantic representations method (EISR) on the Scene-15 dataset, the MIT-Indoor dataset, the UIUC-Sports dataset and the PASCAL VOC 2007 dataset. The experimental results prove the usefulness of the proposed method. (C) 2016 Elsevier Inc. All rights reserved.
KeywordExplicit Representation Implicit Representation Semantic Modeling Image Classification
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.ins.2016.10.019
WOS KeywordSCENE CLASSIFICATION ; LOCAL FEATURES ; LOW-RANK ; RECOGNITION ; CATEGORIZATION ; ANNOTATION ; SPACE
Indexed BySCI
Language英语
Funding OrganizationNational Natural Science Foundation of China(61303154)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Information Systems
WOS IDWOS:000388545100009
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13351
Collection模式识别国家重点实验室_图像与视频分析
Affiliation1.Univ Chinese Acad Sci, Sch Comp & Control Engn, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Key Lab Big Data Min & Knowledge Management, Beijing 100864, Peoples R China
3.Chinese Acad Sci, Inst Automat, Res Ctr Brain Inspired Intelligence, Beijing 100190, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intell Info Proc, Beijing 100190, Peoples R China
5.Univ Texas San Antonio, Dept Comp Sci, San Antonio, TX 78249 USA
Recommended Citation
GB/T 7714
Zhang, Chunjie,Zhu, Guibo,Huang, Qingming,et al. Image classification by search with explicitly and implicitly semantic representations[J]. INFORMATION SCIENCES,2017,376(0):125-135.
APA Zhang, Chunjie,Zhu, Guibo,Huang, Qingming,&Tian, Qi.(2017).Image classification by search with explicitly and implicitly semantic representations.INFORMATION SCIENCES,376(0),125-135.
MLA Zhang, Chunjie,et al."Image classification by search with explicitly and implicitly semantic representations".INFORMATION SCIENCES 376.0(2017):125-135.
Files in This Item: Download All
File Name/Size DocType Version Access License
1-s2.0-S002002551631(1325KB)期刊论文作者接受稿开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Chunjie]'s Articles
[Zhu, Guibo]'s Articles
[Huang, Qingming]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Chunjie]'s Articles
[Zhu, Guibo]'s Articles
[Huang, Qingming]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Chunjie]'s Articles
[Zhu, Guibo]'s Articles
[Huang, Qingming]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 1-s2.0-S0020025516312336-main.pdf
Format: Adobe PDF
All comments (0)
No comment.
 

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