Image Re-Ranking Based on Topic Diversity
Qian, Xueming1,2; Lu, Dan3; Wang, Yaxiong3; Zhu, Li4; Tang, Yuan Yan5; Wang, Meng6
Source PublicationIEEE Transactions on Image Processing

Social media sharing Websites allow users to annotate images with free tags, which significantly contribute to the development of the web image retrieval. Tag-based image search is an important method to find images shared by users in social networks. However, how to make the top ranked result relevant and with diversity is challenging. In this paper, we propose a topic diverse ranking approach for tag-based image retrieval with the consideration of promoting the topic coverage performance. First, we construct a tag graph based on the similarity between each tag. Then, the community detection method is conducted to mine the topic community of each tag. After that, inter-community and intra-community ranking are introduced to obtain the final retrieved results. In the inter-community ranking process, an adaptive random walk model is employed to rank the community based on the multi-information of each topic community. Besides, we build an inverted index structure for images to accelerate the searching process. Experimental results on Flickr data set and NUS-Wide data sets show the effectiveness of the proposed approach.

KeywordSocial Media Tag-based Image Retrieval Topic Community Image Search Re-ranking
URLView the original
Indexed BySCI
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:000403819200007
The Source to ArticleWOS
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Cited Times [WOS]:23   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Corresponding AuthorQian, Xueming; Lu, Dan; Wang, Yaxiong; Zhu, Li; Tang, Yuan Yan; Wang, Meng
Affiliation1.Key Laboratory for Intelligent Networks and Network Security, Ministry of Education, with the Smiles Laboratory, Xi’an Jiaotong University, Xi’an 710049, China
2.Research Institute of Xi’an Jiao Tong University, Shunde, Guangdong
3.Smile Laboratory, Xi’an Jiaotong University, Xi’an 710049, China engineering, Xi’an Jiaotong Univeristy, Xi’an 710049, China
5.Macau University, Macau 999078, China
6.Hefei University of Technology, Hefei 230009, China
Recommended Citation
GB/T 7714
Qian, Xueming,Lu, Dan,Wang, Yaxiong,et al. Image Re-Ranking Based on Topic Diversity[J]. IEEE Transactions on Image Processing,2017,26(8):3734-3747.
APA Qian, Xueming,Lu, Dan,Wang, Yaxiong,Zhu, Li,Tang, Yuan Yan,&Wang, Meng.(2017).Image Re-Ranking Based on Topic Diversity.IEEE Transactions on Image Processing,26(8),3734-3747.
MLA Qian, Xueming,et al."Image Re-Ranking Based on Topic Diversity".IEEE Transactions on Image Processing 26.8(2017):3734-3747.
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