UM  > 科技學院  > 電腦及資訊科學系
Filtering terms from the web for image annotations
ZHIGUO GONG1; JINGZHI GUO1; YUAN YAN TANG1; PATRICK S. P. WANG2
2013-02-01
Source PublicationInternational Journal of Pattern Recognition and Artificial Intelligence
ISSN0218-0014
Volume27Issue:1
Abstract

In this paper, we propose a novel automatic image annotation model by mining the web. In our approach, the terms or words appearing in the associated text are extracted and filtered as labels or annotations for the corresponding web images. Sure, much noise exists in those selected labels. In order to reduce the influence caused by the noisy labels, for each label or potential word, we improve web image-word relationships using Mixture Gaussian Distribution Model. By doing so, the relationships between words and images are re-weighted both in terms of sematic relevance and in terms of visual feature similarity. In fact, all the words associated to an image are not semantically independent. We use co-occurrences between two words to describe their semantic relevance. Thus, we further use a method, called Word Promotion, to co-enhance the weights of all the words associated to a given image based on their co-occurrences. Our experiments are conducted in several ways and the results show that our annotation method can achieve a satisfactory performance in respects of system scalability and sematic evolution. © 2013 World Scientific Publishing Company.

KeywordGaussian Model Image Annotation Web Mining
DOIhttps://doi.org/10.1142/S0218001413540025
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000317135900005
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD, 5 TOH TUCK LINK, SINGAPORE 596224, SINGAPORE
Fulltext Access
Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZHIGUO GONG; JINGZHI GUO; YUAN YAN TANG; PATRICK S. P. WANG
Affiliation1.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macao, P. R. China
2.College of Computer and Information Science, Northeastern University Boston, MA 02115, USA
First Author AffilicationFaculty of Science and Technology
Corresponding Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
ZHIGUO GONG,JINGZHI GUO,YUAN YAN TANG,et al. Filtering terms from the web for image annotations[J]. International Journal of Pattern Recognition and Artificial Intelligence,2013,27(1).
APA ZHIGUO GONG,JINGZHI GUO,YUAN YAN TANG,&PATRICK S. P. WANG.(2013).Filtering terms from the web for image annotations.International Journal of Pattern Recognition and Artificial Intelligence,27(1).
MLA ZHIGUO GONG,et al."Filtering terms from the web for image annotations".International Journal of Pattern Recognition and Artificial Intelligence 27.1(2013).
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[ZHIGUO GONG]'s Articles
[JINGZHI GUO]'s Articles
[YUAN YAN TANG]'s Articles
Baidu academic
Similar articles in Baidu academic
[ZHIGUO GONG]'s Articles
[JINGZHI GUO]'s Articles
[YUAN YAN TANG]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[ZHIGUO GONG]'s Articles
[JINGZHI GUO]'s Articles
[YUAN YAN TANG]'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.